Talk Keyword Index

TALK KEYWORD INDEX

This page contains an index consisting of author-provided keywords.

Shortcuts: 3 `A B C D E F G H I J K L M N O P Q R S T U V W X Z

3
3D-CTF	GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization
`
``Happens Before'' relation	An Event-based Causality Model for Mobile Multiagent Systems
A
Accelerator	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures SISA: A Scale-In Systolic Array for GEMM Acceleration
Accelerator Architecture Design	OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Accelerator support	From Functions to Complex Applications: Toward High-Performance Serverless Computing
Accelerators	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation
adaptive architecture	SISA: A Scale-In Systolic Array for GEMM Acceleration
Adaptive distributed systems	Intelligent resource management in distributed infrastructures
Advanced Matrix Extensions	SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-based CPUs
Agentic AI	Collaborative Agentic AI in the Internet-of-Agents
AI	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
AI accelerators	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
AI-driven Data Management	AI-driven Data Management in Distributed IoT–Edge–Cloud Systems
Algorithm	Fast Checkpointing in Disaggregated Persistent Memory
Algorithm Engineering	Engineering Scalable Distributed List Ranking
algorithm-architecture co-design	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation
AlphaFold2	MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Alternative Basis Method	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Analytical Modeling	Towards a General Analytical Theory of LLM Inference Energy Efficiency
ARM SME	MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
ARMv9	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Assembly generator	Performance Portable BLAS3 Micro-kernel Generator
Asymmetric multicore processors	How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors
Asynchrony	Asynchronous Checkpoint for Eventually Consistent Databases
Attention	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Auto-vectorization	Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Automatic Optimisation	Data Layout Transformation for Memory Performance Optimisation
Autonomous orchestration	Intelligent resource management in distributed infrastructures
Autotuning	Learning Performance and Energy Proxy from Hardware Performance Counters for Low-Overhead Autotuning
B
Backfill scheduling	S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling
Banded matrices	Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
base quality recalibration	X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis
Basic block throughput	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Bayesian optimization	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Benchmarking	Assessing the Performance Impact of Data Layouts: a Benchmarking Approach Data Layout Transformation for Memory Performance Optimisation
bigshare parallel mode	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Bilinear Algorithms	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Blackwell	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
Blocked Sparse Matrix	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
BlueField	Communication Offloading on SmartNIC DPUs: A Quantitative Approach
BULL
Byzantine fault-tolerance	An Event-based Causality Model for Mobile Multiagent Systems
C
C++	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
Cache eviction policy	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Cache management	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
Cache-aware optimization	SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-based CPUs
Carbon-aware computing	Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Carbon-aware data centers	Co-Designing AI & HPC Supercomputers as Grid-Responsive, Carbon-Aware Citizens
Causality	An Event-based Causality Model for Mobile Multiagent Systems
cellular automata	The Invisible GPU: Transparent Stencil Acceleration from Cellular Automata to Fortran Atmospheric Models
Centrality indexes	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality
CGRA	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Cholesky decomposition	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Cloud Computing	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Cloud Environment	PeakLife: Proactive VM Management via Joint Forecasting
Cloud-Edge Environments	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Coarse-Grained Reconfigurable Array (CGRA)	Epileptic Seizure Detection on Ultra-Low Power RISC-V SoC
Code Instrumentation	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Collaborative Data Center Demand Response	Privacy-Preserving Data Center Demand Response using Multi-Party Computation
Combinatorial Optimization	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
Communication Contention	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Communication Offloading	Communication Offloading on SmartNIC DPUs: A Quantitative Approach
Communication Performance	Accelerating Sharded Data Parallelism at Scale with Federated Learning
community detection	Toward Efficient Community Detection on Time-Varying Attributed Graphs
Compiler intermediate representations	Lost in Translation? Experiences Building an LLM for Compiler IR Interoperability
Compiler interoperability	Lost in Translation? Experiences Building an LLM for Compiler IR Interoperability
Compiler optimization	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Compiler-enforced memory safety	Velvet: Parallel Divide-and-Conquer in Safe Rust
Compressed memory swap	Performance Analysis of Hardware-Accelerated Compressed Memory Swap
Computing Continuum	AI-driven Data Management in Distributed IoT–Edge–Cloud Systems
Concept drift	Decentralized Federated Learning for Net Active Power Probabilistic Forecasting in Smart Microgrids
Constraint optimization	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Containerized applications	Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud
Converged computing	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
Convergence Optimization	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
CPU-GPU co-processing	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
CPU-GPU Training	Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms
Cross-Kernel Overlapping	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Cross-Modal Collaborative，	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
cross-segment space	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Cryo-ET	GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization
CUDA	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms The Invisible GPU: Transparent Stencil Acceleration from Cellular Automata to Fortran Atmospheric Models
CUDA Graphs	SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
CUDA kernels	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
cuTile	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
D
DAG scheduling	Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Data augmentation	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Data deduplication	Improving the Efficiency of Data Processing and Analysis in High-Energy Physics
Data Layouts	Assessing the Performance Impact of Data Layouts: a Benchmarking Approach Data Layout Transformation for Memory Performance Optimisation
Data management	Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space
Data Parallelism	Accelerating Sharded Data Parallelism at Scale with Federated Learning
Data reduction	Improving the Efficiency of Data Processing and Analysis in High-Energy Physics
Data transfer	Characterizing GPU Warm-Up Beyond Data Transfers
Data Transfer Volume	Pareto-based Workflow Scheduling for Makespan and Data Transfer Volume Co-optimisation
datacenters	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Dataflow	NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
DDN
Decentralized learning	Decentralized Federated Learning for Net Active Power Probabilistic Forecasting in Smart Microgrids
Decentralized scheduling	Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
Deep Learning Systems	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Deep Surrogate Model	PeakLife: Proactive VM Management via Joint Forecasting
Delta Debugging	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Demand Response	Making Privacy-Preserving Computation Practical for Data Center Coordination and Language Model Inference
Dense matrix-matrix multiplication	Performance Portable BLAS3 Micro-kernel Generator
Dependency management	Changing the Future - Temporal Pointers as Unifying Dependency Abstraction
Digital shadows	Bridging Classical High‑Performance and Quantum Computing: Lessons, Challenges, and Opportunities
digital sufficiency	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Disaggregated datacenter	Fast Checkpointing in Disaggregated Persistent Memory
Distance-based ISA	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Distributed databases	Asynchronous Checkpoint for Eventually Consistent Databases
Distributed Deep Training	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Distributed execution plans	An Intermediate Representation for Heterogeneous Environments
Distributed inference	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Distributed Memory Parallelism	Engineering Scalable Distributed List Ranking
Distributed Snapshots	Asynchronous Checkpoint for Eventually Consistent Databases
Distributed Systems	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems Collaborative Agentic AI in the Internet-of-Agents
distributed tensor storage	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
Distributed Training	RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale Accelerating Sharded Data Parallelism at Scale with Federated Learning
DiT	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Divide-and-conquer	Velvet: Parallel Divide-and-Conquer in Safe Rust
DNN model partitioning	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
DPU	Communication Offloading on SmartNIC DPUs: A Quantitative Approach
DVFS	How much slack is in a multiprocessor schedule?
Dynamic Task Scheduling	SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
Dynamic Time Warping (DTW)	Epileptic Seizure Detection on Ultra-Low Power RISC-V SoC
E
E4
earthquake cycle simulation	A Task Parallel Algorithm For Fast Hybridized PDE Solvers
Earthquake-cycle simulation	Task-Parallel, Mixed-Precision Hybridized Solvers for Earthquake-Cycle Simulation
EasyGrid AMS middleware	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
Edge computing	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing Epileptic Seizure Detection on Ultra-Low Power RISC-V SoC
Edge Intelligence	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
Edge-Cloud-Space continuum	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Education
Efficient Communication	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Efficient Enumeration	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Einsum	Constraint Driven Global Data Layout Optimization for Tensor Expressions
Emulating Linearizability	Asynchronous Checkpoint for Eventually Consistent Databases
Energy Efficiency	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics Sufficiency in Data Centers: Energy Aware Resource Recommendation System When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors Towards a General Analytical Theory of LLM Inference Energy Efficiency
energy efficient	How much slack is in a multiprocessor schedule?
Energy-aware accelerators	Co-Designing AI & HPC Supercomputers as Grid-Responsive, Carbon-Aware Citizens
energy-aware cloud	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Energy-aware resource management	Beyond efficiency: feedback-based resource management to limit computing impacts
Energy-Aware Scheduling	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Energy-efficient	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
Energy-efficient scientific computing	RISC-V for HPC: How Ready Are We?
Epileptic Seizure Detection	Epileptic Seizure Detection on Ultra-Low Power RISC-V SoC
EUPEX
Eventual consistency	Asynchronous Checkpoint for Eventually Consistent Databases
Exascale
Exascale Systems	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
F
FAIR	AI-driven Data Management in Distributed IoT–Edge–Cloud Systems
Fast frequency response	Co-Designing AI & HPC Supercomputers as Grid-Responsive, Carbon-Aware Citizens
Fast Long Integer Multiplication	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Fault Detection	Adaptive Fault Tolerance in Time-Sensitive Networking
Fault Recovery	Adaptive Fault Tolerance in Time-Sensitive Networking
Fault tolerance	Adaptive Fault Tolerance in Time-Sensitive Networking Fast Checkpointing in Disaggregated Persistent Memory
Fault tolerance in supercomputing	A Brief Survey of Task-Level Resilience Techniques
Federated Learning	Accelerating Sharded Data Parallelism at Scale with Federated Learning SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet Decentralized Federated Learning for Net Active Power Probabilistic Forecasting in Smart Microgrids
Feedback-based adaptation	Beyond efficiency: feedback-based resource management to limit computing impacts
Field-Programmable Gate Array	Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
Flash Attention	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
Flexible service-level agreements	Co-Designing AI & HPC Supercomputers as Grid-Responsive, Carbon-Aware Citizens
Floating-Point Instability	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Fortran	The Invisible GPU: Transparent Stencil Acceleration from Cellular Automata to Fortran Atmospheric Models
FPGA	NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
FSDP	Accelerating Sharded Data Parallelism at Scale with Federated Learning
Fully Homomorphic Encryption	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation Making Privacy-Preserving Computation Practical for Data Center Coordination and Language Model Inference
Futures	Changing the Future - Temporal Pointers as Unifying Dependency Abstraction
G
GEMM	SISA: A Scale-In Systolic Array for GEMM Acceleration
Generative inference	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
genomics	X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis
GH200	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
Governance	Reliability of Programming Languages: Sustainability inside the Codebase
GPU	Constraint Driven Global Data Layout Optimization for Tensor Expressions Efficient Parallel Algorithms for Hypergraph Matching Characterizing GPU Warm-Up Beyond Data Transfers JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study Layer-wise CPU-GPU Scheduling for LLM Inference on Memory-Limited Consumer GPUs
GPU acceleration	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization The Invisible GPU: Transparent Stencil Acceleration from Cellular Automata to Fortran Atmospheric Models
GPU Chekcpoint and Restore	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
GPU computing	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
GPU L2 cache	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
GPU Runtime	SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines
GPU-CPU cooperative execution	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
Gradient Fusion	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
Gradient Sparsification，	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
Graph algorithms	An Event-based Causality Model for Mobile Multiagent Systems Engineering Scalable Distributed List Ranking
Graph Kernels	Lessons Learned on Program Recognition Robustness under Code Transformations
Graph Neural Networks	RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction Lessons Learned on Program Recognition Robustness under Code Transformations
GreenShift
H
Hard and soft errors	A Brief Survey of Task-Level Resilience Techniques
Hardware acceleration	Performance Analysis of Hardware-Accelerated Compressed Memory Swap
Hardware performance counters	Learning Performance and Energy Proxy from Hardware Performance Counters for Low-Overhead Autotuning
Hardware–software co-design	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
Heterogeneous	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Heterogeneous Architectures	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Heterogeneous Computing	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms Pareto-based Workflow Scheduling for Makespan and Data Transfer Volume Co-optimisation
Heterogeneous Graph Neural Network	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Heterogeneous infrastructures	An Intermediate Representation for Heterogeneous Environments
Heterogeneous memory	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
Heterogeneous platforms	Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Heterogeneous Systems	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
Hierarchical Parallel Computing	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
High level Synthesis	Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction
High throughput	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
High-energy physics	Improving the Efficiency of Data Processing and Analysis in High-Energy Physics
High-Level Synthesis	Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
High-Performance Computing	X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing Beyond Prediction Accuracy: Understanding Runtime Estimation in HPC Scheduling
HIP	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Homogeneous platforms	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality
HPC	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study Accelerating Sharded Data Parallelism at Scale with Federated Learning QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
HPC and Cloud sustainability	Beyond efficiency: feedback-based resource management to limit computing impacts
HPC software ecosystem	RISC-V for HPC: How Ready Are We?
HPC-quantum integration	Bridging Classical High‑Performance and Quantum Computing: Lessons, Challenges, and Opportunities
HSDP	Accelerating Sharded Data Parallelism at Scale with Federated Learning
Huawei
Hybrid quantum-classical computing	Bridging Classical High‑Performance and Quantum Computing: Lessons, Challenges, and Opportunities
Hybrid Workflows	QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Hybridized methods	Task-Parallel, Mixed-Precision Hybridized Solvers for Earthquake-Cycle Simulation
hypergraph matching	Efficient Parallel Algorithms for Hypergraph Matching
I
I/O Complexity	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Inference optimization	Throughput Optimization for Multi-level Speculative Decoding
Inference Optimizing	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
inference serving	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
Inner Product	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Instruction scheduling	CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs
Intel RAPL	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
Intelligence Processing Unit	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Intermediate Representation	Constraint Driven Global Data Layout Optimization for Tensor Expressions DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning An Intermediate Representation for Heterogeneous Environments
Internet of Agents	Collaborative Agentic AI in the Internet-of-Agents
Interoperability	Reliability of Programming Languages: Sustainability inside the Codebase
IoT-Edge-Cloud	AI-driven Data Management in Distributed IoT–Edge–Cloud Systems
IR-to-IR translation	Lost in Translation? Experiences Building an LLM for Compiler IR Interoperability
J
JAX performance	JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
Job Scheduling	Beyond Prediction Accuracy: Understanding Runtime Estimation in HPC Scheduling
Julia language	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
K
Kernel Fusion	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Knowledge-based resource management	Intelligent resource management in distributed infrastructures
Kokkos	JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study
KV cache	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
KV compression	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
L
Language Models	Making Privacy-Preserving Computation Practical for Data Center Coordination and Language Model Inference
Large language model	Layer-wise CPU-GPU Scheduling for LLM Inference on Memory-Limited Consumer GPUs Collaborative Agentic AI in the Internet-of-Agents
Large Language Models	Throughput Optimization for Multi-level Speculative Decoding Lost in Translation? Experiences Building an LLM for Compiler IR Interoperability
LEO space data centers	Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers
Lifetime Prediction	PeakLife: Proactive VM Management via Joint Forecasting
List Ranking	Engineering Scalable Distributed List Ranking
LLM	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models SISA: A Scale-In Systolic Array for GEMM Acceleration Accelerating Sharded Data Parallelism at Scale with Federated Learning
LLM inference	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators Towards a General Analytical Theory of LLM Inference Energy Efficiency
LLM servicing	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
LLM serving	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
LLVM	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Load balancing	Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters
Load forecasting	Decentralized Federated Learning for Net Active Power Probabilistic Forecasting in Smart Microgrids
Low Overhead	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Lyapunov optimization	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
M
Machine learning	Beyond Prediction Accuracy: Understanding Runtime Estimation in HPC Scheduling Decentralized Federated Learning for Net Active Power Probabilistic Forecasting in Smart Microgrids
Mapping	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
matmul	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
matrix processing units (MXUs)	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Memory allocations	Characterizing GPU Warm-Up Beyond Data Transfers
Memory Management	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Memory migration	Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space
Memory Optimization	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Memory Profiling Framework	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Memory-aware	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
memory-controller contention	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Memory-Safety	Reliability of Programming Languages: Sustainability inside the Codebase
MI300A	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
MIMD	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Minimal Failure-Inducing Subsets	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Mixed precision	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs Task-Parallel, Mixed-Precision Hybridized Solvers for Earthquake-Cycle Simulation
Mobile robots	An Event-based Causality Model for Mobile Multiagent Systems
Modal Heterogeneity	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
Model Context Protocol	AI-driven Data Management in Distributed IoT–Edge–Cloud Systems
Model Heterogeneity	SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet
Model Parti-tioning	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
Model Partitioning	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Monte Carlo Method	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
MPI	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models
Multi-Agent Reinforcement Learning	Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms
Multi-core	Velvet: Parallel Divide-and-Conquer in Safe Rust
Multi-model	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
Multi-Party Computation	Privacy-Preserving Data Center Demand Response using Multi-Party Computation Making Privacy-Preserving Computation Practical for Data Center Coordination and Language Model Inference
Multi-SLO	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
Multi-tenant scheduling	Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing
Multiagent systems	An Event-based Causality Model for Mobile Multiagent Systems
multicore	Efficient Parallel Algorithms for Hypergraph Matching
Multimodal Model，	CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training
multiprocessors	How much slack is in a multiprocessor schedule?
N
Needleman-Wunsch	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Neural compilation	Lost in Translation? Experiences Building an LLM for Compiler IR Interoperability
neural networks	Toward Efficient Community Detection on Time-Varying Attributed Graphs
NISQ Systems	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
Non-uniform Memory access (NUMA)	Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space
NPU	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
O
Onedata	AI-driven Data Management in Distributed IoT–Edge–Cloud Systems
Open instruction set architectures	RISC-V for HPC: How Ready Are We?
OpenACC	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
OpenCL	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
OpenEdgeCGRA	CASTM: An API for Accelerating Zero-Knowledge Proof Kernels on CGRA Architectures
OpenMP	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
Operator Synthesis	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Optimisation Guidelines	Assessing the Performance Impact of Data Layouts: a Benchmarking Approach
P
Paged Attention	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
Parallel
Parallel Algorithm	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Parallel Algorithms	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Parallel Branch-and-Bound	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
Parallel Computing	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Parallel Monte Carlo	A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems
Parallelism	Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation
Parallelization	Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Pareto Optimisation	Pareto-based Workflow Scheduling for Makespan and Data Transfer Volume Co-optimisation
Performance	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems Reliability of Programming Languages: Sustainability inside the Codebase
Performance Analysis	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Performance analysis and optimizations	Performance Analysis of Hardware-Accelerated Compressed Memory Swap
Performance characterization	Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Performance modeling	Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs A Task Parallel Algorithm For Fast Hybridized PDE Solvers Task-Parallel, Mixed-Precision Hybridized Solvers for Earthquake-Cycle Simulation
Performance Optimization	MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference
Performance prediction	Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction
Persistent Memory	Fast Checkpointing in Disaggregated Persistent Memory
Pipeline optimization	GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization
Pipeline Parallelism	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Poseidon2	CASTM: An API for Accelerating Zero-Knowledge Proof Kernels on CGRA Architectures
Power Capping	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
Power Management	When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems
PRAM	Efficient Parallel Algorithms for Hypergraph Matching
Predictive scaling	Intelligent resource management in distributed infrastructures
prefix caching and replication	PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving
Privacy	Privacy-Preserving Data Center Demand Response using Multi-Party Computation Making Privacy-Preserving Computation Practical for Data Center Coordination and Language Model Inference
Privacy-Preserving Protocol	OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Processor micro-architectures	Performance Portable BLAS3 Micro-kernel Generator
Profiling	Characterizing GPU Warm-Up Beyond Data Transfers
Program Recognition	Lessons Learned on Program Recognition Robustness under Code Transformations
Programmatic Dependent Launch	DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications
Programming Languages	Reliability of Programming Languages: Sustainability inside the Codebase
Proxy models	Learning Performance and Energy Proxy from Hardware Performance Counters for Low-Overhead Autotuning
Q
QoS-aware	Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU
Quantile regression	S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling
quantization	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Quantum
Quantum Chemistry Simulation	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
Quantum Computing	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Quantum workflow orchestration	Bridging Classical High‑Performance and Quantum Computing: Lessons, Challenges, and Opportunities
Quantum-Classical Optimization	QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
Qubit Mapping	Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems
QUBO	QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework
R
RDMA	Fast Checkpointing in Disaggregated Persistent Memory
Real-time scheduling	MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks
recursive algorithms	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Region prediction	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
Reliability	Reliability of Programming Languages: Sustainability inside the Codebase
Research
Resource Allocation	Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster
Resource management	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud
Resource prediction	Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud
Resource utilization	S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling
Resource-aware training	RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Retrieval-Augmented Generation	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
Ring Topology	NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
RISC-V for HPC	RISC-V for HPC: How Ready Are We?
RISC-V RVV	Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
RISC-V SoC	Epileptic Seizure Detection on Ultra-Low Power RISC-V SoC
Runtime estimation	S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling
Runtime Prediction	Beyond Prediction Accuracy: Understanding Runtime Estimation in HPC Scheduling
Runtime resource control	Beyond efficiency: feedback-based resource management to limit computing impacts
Rust	Velvet: Parallel Divide-and-Conquer in Safe Rust
S
SBP-SAT	Task-Parallel, Mixed-Precision Hybridized Solvers for Earthquake-Cycle Simulation
Scalable Matrix Extension	SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME
Scheduling	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster FlowGPU: Transparent and Efficient GPU Checkpointing and Restore Layer-wise CPU-GPU Scheduling for LLM Inference on Memory-Limited Consumer GPUs From Functions to Complex Applications: Toward High-Performance Serverless Computing
Scheduling algorithms	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality
Scientific application performance	RISC-V for HPC: How Ready Are We?
Scientific Computing	Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets
Scientific data management	Improving the Efficiency of Data Processing and Analysis in High-Energy Physics
Scientific workflows	Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud An Intermediate Representation for Heterogeneous Environments
Selective Tracing	A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing
Self-optimizing infrastructures	Intelligent resource management in distributed infrastructures
Semi-structured sparsity	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
Sequence Alignment	Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies
Sequence Parallelism	Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication
Serverless	Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters
Serverless computing	From Functions to Complex Applications: Toward High-Performance Serverless Computing Toward Adaptable Serverless Workflows: A Runtime-Adjustable DAG Approach for Streaming Pipelines
Shared Memory	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
SIMD/vector instructions	Performance Portable BLAS3 Micro-kernel Generator
slack reclamation	How much slack is in a multiprocessor schedule?
SNN	NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
source-to-source compilation	The Invisible GPU: Transparent Stencil Acceleration from Cellular Automata to Fortran Atmospheric Models
Sparse matrix--matrix multiplication	SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-based CPUs
Sparse matrix–vector multiplication	AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs
Sparse solvers	A Task Parallel Algorithm For Fast Hybridized PDE Solvers
Spatial Accelerator	HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators
Speculative decoding	Throughput Optimization for Multi-level Speculative Decoding
SpMV	Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis
Standard Library	Reliability of Programming Languages: Sustainability inside the Codebase
Standardization	Reliability of Programming Languages: Sustainability inside the Codebase
Static analysis	Changing the Future - Temporal Pointers as Unifying Dependency Abstraction
Static-Dynamic Semantic Gap	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Statistical timing analysis	G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication
stencil computation	The Invisible GPU: Transparent Stencil Acceleration from Cellular Automata to Fortran Atmospheric Models
Storage management	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices
Stratified conformal prediction	S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling
Stream	NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures
Stream Processing	Toward Adaptable Serverless Workflows: A Runtime-Adjustable DAG Approach for Streaming Pipelines
STT-MRAM	RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM
Sufficiency in computing	Beyond efficiency: feedback-based resource management to limit computing impacts
Sunway SW26010Pro processor	Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution
Sustainable supercomputing	Co-Designing AI & HPC Supercomputers as Grid-Responsive, Carbon-Aware Citizens
Sustainable Transport
SYCL	Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms
SYR2K	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
SYRK	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
System Optimization	ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation
systolic array	SISA: A Scale-In Systolic Array for GEMM Acceleration
T
Task Scheduling	Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters How much slack is in a multiprocessor schedule?
Task-based parallel programming	A Brief Survey of Task-Level Resilience Techniques
Task-based parallelism	A Task Parallel Algorithm For Fast Hybridized PDE Solvers Changing the Future - Temporal Pointers as Unifying Dependency Abstraction
Task-level checkpointing	A Brief Survey of Task-Level Resilience Techniques
Task-level replication	A Brief Survey of Task-Level Resilience Techniques
Task-parallel solvers	Task-Parallel, Mixed-Precision Hybridized Solvers for Earthquake-Cycle Simulation
Teachability	Reliability of Programming Languages: Sustainability inside the Codebase
temporal graphs	Toward Efficient Community Detection on Time-Varying Attributed Graphs
Tensor Compiler	Constraint Driven Global Data Layout Optimization for Tensor Expressions
Tensor Contractions	TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures
tensor cores	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Tenstorrent Wormhole	Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators
Thermal Mitigation	MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments
Tiered memory	Performance Analysis of Hardware-Accelerated Compressed Memory Swap
Tiling	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Time-Sensitive Networking	Adaptive Fault Tolerance in Time-Sensitive Networking
Toom-Cook	Minimizing Communication Costs in Inner Product Toom-Cook Algorithms
Traffic Scheduling	Adaptive Fault Tolerance in Time-Sensitive Networking
Transformers	DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning
Transparent	FlowGPU: Transparent and Efficient GPU Checkpointing and Restore
Triton	Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell
TRSM	Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs
Tuning	TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates
Turbo Boost	Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics
U
Ultra-Low Power	Epileptic Seizure Detection on Ultra-Low Power RISC-V SoC
Unified memory	Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures
user behavior	Sufficiency in Data Centers: Energy Aware Resource Recommendation System
Utilization Forecasting	PeakLife: Proactive VM Management via Joint Forecasting
V
Variable Centric	MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation
Variational quantum algorithms	Bridging Classical High‑Performance and Quantum Computing: Lessons, Challenges, and Opportunities
Virtual memory	Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space
Vision Transformer	Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design
VM Management	PeakLife: Proactive VM Management via Joint Forecasting
W
Warm-up	Characterizing GPU Warm-Up Beyond Data Transfers
WebAssembly	Toward Adaptable Serverless Workflows: A Runtime-Adjustable DAG Approach for Streaming Pipelines
Weighted Back-Projection	GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization
Work-stealing	Velvet: Parallel Divide-and-Conquer in Safe Rust
Workflow portability	An Intermediate Representation for Heterogeneous Environments
Workflow scheduling	Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud Pareto-based Workflow Scheduling for Makespan and Data Transfer Volume Co-optimisation
Workflow scheduling algorithms	Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows
Workload characterization	How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors
X
x86/Arm/RISC-V ISA	Performance Portable BLAS3 Micro-kernel Generator
Z
Zero-Knowledge Proof	OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs
Zero-Knowledge Proofs	CASTM: An API for Accelerating Zero-Knowledge Proof Kernels on CGRA Architectures