PROGRAM
Days: Wednesday, August 26th Thursday, August 27th Friday, August 28th
Wednesday, August 26th
View this program: with abstractssession overviewtalk overview
10:30-11:00Coffee Break
11:00-12:40 Session 3A: Compiler and Runtime Systems
Location: Room B
| 11:00 | Velvet: Parallel Divide-and-Conquer in Safe Rust (abstract) |
| 11:25 | Communication Offloading on SmartNIC DPUs: A Quantitative Approach (abstract) |
| 11:50 | MemBridge: Bridging the Static-Dynamic Semantic Gap in Memory Profiling via Variable-Centric Instrumentation (abstract) |
| 12:15 | TBF: A Tunable Blocking-and-Fusion Algorithm for Efficient GPU Symmetric Rank-2K Updates (abstract) |
11:00-12:40 Session 3B: Sustainable Computing and Resource Optimization
Location: Room C
| 11:00 | MoProteus: LLM-Driven Multi-Version Operator Generation for Energy-Aware Scheduling in Heterogeneous Cloud-Edge Environments (abstract) |
| 11:25 | Sufficiency in Data Centers: Energy Aware Resource Recommendation System (abstract) |
| 11:50 | Carbon-Aware Mapping and Scheduling for Deadline-Constrained Workflows (abstract) |
| 12:15 | Machine Learning-Enhanced Resource Optimization for Bioinformatics Workflows in the Cloud (abstract) |
11:00-12:40 Session 3C: DSLs and Spatial Accelerators
Location: Room A1
| 11:00 | Characterizing Needleman-Wunsch Sequence Alignment on the Graphcore IPU: Memory Trade-offs and Optimization Strategies (abstract) |
| 11:25 | Backend Code Generation for Graph DSLs Targeting Diverse Accelerator Platforms (abstract) |
| 11:50 | SMEAtten: Fast and Memory-Efficient Outer Product-based Attention on ARMv9 CPUs with SME (abstract) |
| 12:15 | HGNNMap: Heterogeneous Graph Neural Network-Based Mapping for Spatial Accelerators (abstract) |
11:00-12:40 Session 3D: Theory and Distributed Algorithms
Location: Room B1
| 11:00 | An Event-based Causality Model for Mobile Multiagent Systems (abstract) |
| 11:25 | Efficient Parallel Algorithms for Hypergraph Matching (abstract) |
| 11:50 | Minimizing Communication Costs in Inner Product Toom-Cook Algorithms (abstract) |
| 12:15 | Asynchronous Checkpoint for Eventually Consistent Databases (abstract) |
12:40-14:00Lunch Break
14:00-15:40 Session 4A: Performance Portability and Low-Level Optimization
Location: Room B
| 14:00 | Abstraction at What Cost? Evaluating Python DSLs for Transformer GPU Kernel Primitives on Nvidia Blackwell (abstract) |
| 14:25 | Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors (abstract) |
| 14:50 | Performance Portable BLAS3 Micro-kernel Generator (abstract) |
| 15:15 | How Efficient Are the Efficient Cores? - An Experimental Evaluation of Energy Efficiency in Asymmetric Multicore Processors (abstract) |
14:00-15:40 Session 4B: Workflow and Cluster Scheduling
Location: Room C
| 14:00 | Static Scheduling of DAG Workflows on Homogeneous Parallel Platforms Using Longest Betweenness Centrality (abstract) |
| 14:25 | ApproxRAG: A Systematic Framework for Mitigating I/O Overheads in Retrieval-Augmented Generation (abstract) |
| 14:50 | Frenzy: A Memory-Aware Serverless LLM Training System for Heterogeneous GPU Clusters (abstract) |
| 15:15 | Dodoor: Efficient Randomized Decentralized Scheduling with Load Caching for Heterogeneous Tasks and Clusters (abstract) |
14:00-15:40 Session 4D: GPU Memory and Systems
Location: Room A
| 14:00 | RWIP: Region-Level Write-Intensity Prediction for GPU L2 Cache based on Hybrid-Retention STT-MRAM (abstract) |
| 14:25 | Characterizing GPU Warm-Up Beyond Data Transfers (abstract) |
| 14:50 | Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space (abstract) |
| 15:15 | Performance Analysis of Hardware-Accelerated Compressed Memory Swap (abstract) |
15:40-16:30Coffee Break & Poster Presentation
16:30-17:45 Session 5A: Compiler and Layout Optimization
Location: Room B
| 16:30 | CoDA: Constraint-Based Distance Adjustment Optimization for Distance-Based ISAs (abstract) |
| 16:55 | Assessing the Performance Impact of Data Layouts: a Benchmarking Approach (abstract) |
| 17:20 | A Compiler-Assisted Workflow for Efficiency-Guided Selective Tracing (abstract) |
16:30-17:45 Session 5B: Edge and Cluster Scheduling
Location: Room C
| 16:30 | Coordinated Resource Management for Energy-Efficient DNN Inference on Heterogeneous Edge Devices (abstract) |
| 16:55 | MARS: Multi-model Aware Real-time Scheduler for NPU-coordinated DLI Tasks (abstract) |
| 17:20 | S-CQR: Stratified Calibration for Runtime Prediction in HPC Backfill Scheduling (abstract) |
16:30-17:45 Session 5C: Scalable AI Systems
Location: Room A1
| 16:30 | RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale (abstract) |
| 16:55 | Two-Stage Hierarchy-Aware Learning with Gradient Conflict Mitigation for HLS Latency and Resource Prediction (abstract) |
| 17:20 | DACOS: Dependency-Aware Cross-Kernel Overlapping for Optimizing Short-Sequence Workloads in LLM Applications (abstract) |
16:30-17:45 Session 5D: Performance Analysis and Scheduling
Location: Room B1
| 16:30 | Performance evaluation of a CPU-GPU coprocessing-based simulation software on converged computing architectures (abstract) |
| 16:55 | How much slack is in a multiprocessor schedule? (abstract) |
| 17:20 | Sparsh: Breaking the Communication Bottleneck in Sequence Parallel Video Diffusion Inference with Predictive Sparse Communication (abstract) |
Thursday, August 27th
View this program: with abstractssession overviewtalk overview
10:00-10:30Coffee Break
10:30-13:00 Session 7: Best Paper Session
Location: Room A
| 10:30 | Constraint Driven Global Data Layout Optimization for Tensor Expressions (abstract) |
| 10:55 | Understanding Power Limiting Mechanisms in Modern Processors: A Deep Dive into Intel RAPL and Turbo Boost Dynamics (abstract) PRESENTER: Romial Menra |
| 11:20 | CASTM: An API for Accelerating Zero-Knowledge Proof Kernels on CGRA Architectures (abstract) |
| 11:45 | Accelerating Sharded Data Parallelism at Scale with Federated Learning (abstract) |
| 12:10 | Engineering Scalable Distributed List Ranking (abstract) |
| 12:35 | Accelerating Multi-Agent Reinforcement Learning on Heterogeneous Platforms (abstract) |
13:00-14:00Lunch Break
14:00-15:40 Session 8A: Matrix and Massive Parallelism
Location: Room B
| 14:00 | Repurposing the Cross-Segment Space on Sunway SW26010Pro for MC-Balanced Bigshare Execution (abstract) |
| 14:25 | NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures (abstract) |
| 14:50 | SISA: A Scale-In Systolic Array for GEMM Acceleration (abstract) |
| 15:15 | Realizable N:M Sparse Transformer Inference via Search–Kernel Co-Design (abstract) |
14:00-15:40 Session 8B: Accelerators and Computational Kernels
Location: Room C
| 14:00 | Hierarchical Recursive Precision for Accelerating Symmetric Linear Solves on MXUs (abstract) |
| 14:25 | When Faster Kernels Do Not Mean Faster Applications in Exascale GPU Systems (abstract) |
| 14:50 | Optimizing SpMV Kernel for Banded Matrices on FPGAs Using High-Level Synthesis (abstract) |
| 15:15 | OmniZK: A Versatile Accelerator Architecture for Zero-Knowledge Proofs (abstract) |
14:00-15:40 Session 8D: Women in HPC
Location: Room B1
| 14:00 | A Brief Survey of Task-Level Resilience Techniques (abstract) |
| 14:20 | Bridging Classical High‑Performance and Quantum Computing: Lessons, Challenges, and Opportunities (abstract) |
| 14:40 | Intelligent resource management in distributed infrastructures (abstract) |
| 15:00 | An Intermediate Representation for Heterogeneous Environments (abstract) |
| 15:20 | Lost in Translation? Experiences Building an LLM for Compiler IR Interoperability (abstract) |
15:40-16:30Coffee Break & Poster Presentation
16:30-17:45 Session 9A: Runtime Systems and Resilience
Location: Room B
| 16:30 | Adaptive Fault Tolerance in Time-Sensitive Networking (abstract) |
| 16:55 | Lyapunov-Guided KV Cache Control for Multi-Tenant Edge LLM Servicing (abstract) |
| 17:20 | FlowGPU: Transparent and Efficient GPU Checkpointing and Restore (abstract) |
16:30-17:45 Session 9B: Scientific Computing I
Location: Room C
| 16:30 | AtSpMV: Model-Guided Adaptive Tiling and Load Balancing for SpMV on GPUs (abstract) |
| 16:55 | A Task Parallel Algorithm For Fast Hybridized PDE Solvers (abstract) |
| 17:20 | GWBP: Accelerating Weighted Back-Projection for Image Reconstruction via Efficient GPU Parallel Optimization (abstract) |
16:30-17:45 Session 9C: Distributed AI Systems and Parallelization
Location: Room A1
| 16:30 | Constella: A Novel Framework for Cost-Efficient Distributed AI Inference in LEO Space Data Centers (abstract) |
| 16:55 | Evaluating the Parallelization Capabilities of State-of-the-art Agentic Large Language Models (abstract) |
| 17:20 | CCGS: A Cross-Modal Collaborative Gradient Sparsification for Accelerating Distributed Multimodal Model Training (abstract) |
16:30-17:45 Session 9D: Women in HPC
Location: Room B1
| 16:30 | Co-Designing AI & HPC Supercomputers as Grid-Responsive, Carbon-Aware Citizens (abstract) |
| 16:50 | Beyond efficiency: feedback-based resource management to limit computing impacts (abstract) |
| 17:10 | RISC-V for HPC: How Ready Are We? (abstract) |
Friday, August 28th
View this program: with abstractssession overviewtalk overview
10:00-10:30Coffee Break
11:45-13:00 Session 12A: Theory and High-Performance Algorithms
Location: Room B
| 11:45 | SparX: Cache-Aware Sparse Matrix Multiplication Kernels on AMX-based CPUs (abstract) |
| 12:10 | Fast Checkpointing in Disaggregated Persistent Memory (abstract) |
| 12:35 | Efficient Parallel Enumeration of Disjoint Minimal Failure-Inducing Subsets (abstract) |
11:45-13:00 Session 12B: Scientific Computing II
Location: Room C
| 11:45 | G-STAR: GPU-Accelerated Statistical Static Timing Analysis using Level-by-level Replication (abstract) |
| 12:10 | JAX vs Kokkos Performance Comparison: A Magnetohydrodynamic Solver Case Study (abstract) |
| 12:35 | A Novel Parallel Strategy for Monte Carlo Simulations in Heterogeneous Distributed Systems (abstract) |
11:45-13:00 Session 12C: Inference and Scheduling for LLM Systems
Location: Room A1
| 11:45 | Harmonia: QoS-Aware and High-Throughput Generative Inference with a Single GPU (abstract) |
| 12:10 | DAG-P: Efficient Fine-Grained Partitioning of Open-Source Transformer Models via Dependency-Aligned Planning (abstract) |
| 12:35 | Layer-wise CPU-GPU Scheduling for LLM Inference on Memory-Limited Consumer GPUs (abstract) |
11:45-13:00 Session 12D: Learning-Based Optimization and Prediction
Location: Room B1
| 11:45 | Throughput Optimization for Multi-level Speculative Decoding (abstract) |
| 12:10 | SuperSFL: Resource-Heterogeneous Federated Split Learning with Weight-Sharing Supernet (abstract) |
| 12:35 | Adaptive Data Augmentation with Bayesian Optimization for Basic Block Throughput Prediction (abstract) |
13:00-14:00Lunch Break
14:00-15:15 Session 13A: Forecasting and Pipeline Scheduling
Location: Room B
| 14:00 | PeakLife: Proactive VM Management via Joint Forecasting (abstract) |
| 14:25 | SET: Stream-Event-Triggered Scheduling for Efficient CUDA Graph Pipelines (abstract) |
| 14:50 | Moirai: Dependency-Impact-Based Communication Scheduling for Multi-Job Distributed Deep Learning Cluster (abstract) PRESENTER: Jingbin Yang |
14:00-15:15 Session 13B: Security and Genomics
Location: Room C
| 14:00 | Thunder: Efficient Multi-Node FHE Acceleration Framework via In-Transit Computation (abstract) |
| 14:25 | X-BQSR: Holistic Acceleration of Base Quality Recalibration for Scalable Genomic Analysis (abstract) |
| 14:50 | Privacy-Preserving Data Center Demand Response using Multi-Party Computation (abstract) |
14:00-15:15 Session 13C: Quantum Systems
Location: Room A1
| 14:00 | TAIN: Scalable Tensor-Aware Acceleration for Quantum Chemistry on Heterogeneous Architectures (abstract) PRESENTER: Wenhao Liang |
| 14:25 | Hierarchical Parallel Computing for Optimal Qubit Mapping in NISQ Systems (abstract) |
| 14:50 | QSplit: A Workflow-Oriented Hybrid Quantum-Classical Optimization Framework (abstract) |
14:00-15:15 Session 13D: High-Performance AI Inference
Location: Room B1
| 14:00 | MatrixFold: Unleashing Manycore CPUs with Outer-Product Units for Mixed-Precision AlphaFold Inference (abstract) |
| 14:25 | PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving (abstract) |
| 14:50 | Performance Characterization and Optimization of LLM Inference on Tenstorrent AI Accelerators (abstract) |