TALK KEYWORD INDEX
This page contains an index consisting of author-provided keywords.
| A | |
| ABMS | |
| Ad-Hoc file system | |
| Adaptive routing | |
| ADIOS2 | |
| Agent Based Modeling and Simulations | |
| AI | |
| AI-generated code | |
| All Reduce | |
| anomaly detection | |
| application mapping | |
| Application scheduling | |
| applications | |
| Artificial intelligence | |
| Astroplasma | |
| Asynchronous circuit | |
| Asynchronous Many-Task | |
| Asynchronous Many-Task Runtime System | |
| Auto-Tuning | |
| Automatic parallelization | |
| autonomous agent | |
| B | |
| Bagging | |
| Batch scheduling resource allocation | |
| Batched matrix multiplication | |
| Bechmarking | |
| benchmark | |
| big data | |
| Blockchain | |
| Buffer occupancy | |
| Byzantine | |
| C | |
| CAPIO Middleware | |
| CGRA | |
| Chapel | |
| ChatGPT | |
| Clinical Decision Support Systems | |
| cloud | |
| Cloud Computing | |
| Cloud-Edge-IoT continuum | |
| Cloud-to-Edge continuum | |
| ClusterLink | |
| CNN | |
| CNOT gate | |
| Code Generation and Optimizations | |
| Collective Communication | |
| Collective communication primitives | |
| Collectives | |
| communication | |
| Community detection | |
| compilation process | |
| Compilers | |
| Computation | |
| Computational | |
| Computational Fluid Dynamics | |
| Computational Genomics | |
| compute continuum | |
| Computing continuum | |
| Computing Sphere | |
| Concurrency | |
| Concurrent Data Structures | |
| Concurrent Maps | |
| Consensus protocol | |
| Containerization | |
| continuum | |
| continuum management | |
| Control mechanisms | |
| Cost Model | |
| COTS | |
| CPU allocation techniques | |
| Craftsman | |
| Cray Apprentice2 | |
| CrayPat | |
| critical infrastructure | |
| Cryptography | |
| CUDA | |
| D | |
| DAGonStar | |
| Darshan | |
| Data Analytics | |
| Data distribution | |
| Data observatory | |
| Data Parallelism | |
| Data stores | |
| Data Stream Processing | |
| Data Structures | |
| Data-driven decision-making | |
| decentralized | |
| declarative programming | |
| Deep Learning | |
| Deep learning compiler | |
| deterministic latency | |
| Disk failure prediction | |
| Distributed Computing | |
| Distributed learning | |
| Distributed Satellite Systems | |
| Distributed Storage | |
| distributed system | |
| Distributed Systems | |
| DMR | |
| DNN inference | |
| DOE | |
| Dragonfly topology | |
| DTW | |
| Dynamic | |
| Dynamic Deployment | |
| Dynamic graphs | |
| Dynamic pipelines | |
| Dynamic Resource Management | |
| dynamic resource manager | |
| Dynamic Resources | |
| Dynamic Scheduling | |
| E | |
| e-science | |
| earth observation services | |
| edge | |
| Edge Computer | |
| Edge Computing | |
| Edge intelligence | |
| Edge-fog-cloud | |
| Efficient Data Processing | |
| Elastic Workflows | |
| Energy Consumption Prediction | |
| Energy Efficiency | |
| Ensemble Techniques | |
| environmental indexes | |
| eScience | |
| Evolutionary optimization | |
| Evolving Programs | |
| exascale | |
| Expand Ad-Hoc | |
| F | |
| fault tolerance | |
| Federated GNN | |
| Federated Learning | |
| FFT | |
| Fine-tuning | |
| FL_Weight | |
| Flowshop Problem | |
| Fluid dynamics | |
| formal semantics | |
| FPGA | |
| FSPX | |
| Futures | |
| G | |
| Global Data | |
| Gloo | |
| gprof | |
| GPU | |
| GPU computing | |
| GPU-aware Heterogeneity | |
| GPU-native Support | |
| Graph convolutional network | |
| Graph neural network inference | |
| Graph Neural Networks | |
| Graph Partitioning | |
| Grid computing resource management | |
| H | |
| Hardware Accelerators | |
| Heterogeneous | |
| Heterogeneous Acceleration Cluster | |
| Heterogeneous architecture | |
| heterogeneous architectures | |
| heterogeneous computing | |
| Heterogeneous Programming | |
| Heterogeneous safety-critical embedded systems | |
| Heterogeneous System | |
| Hierarchical Architecture | |
| High Performance Computing | |
| high-energy-density | |
| High-Level Synthesis | |
| High-Performance Computing | |
| HIP/ROCm | |
| HPC | |
| HPC interconnection networks | |
| HPX | |
| HSI | |
| Hybrid Parallelism | |
| hybrid workflows | |
| I | |
| I/O | |
| iFogSim simulator | |
| Imaging | |
| Imbalance | |
| IMRT | |
| In-Situ Analysis | |
| Industry 4.0 | |
| Inference | |
| inter-cluster | |
| Inter-Satellite Links | |
| Interconnection networks | |
| Internet of Things | |
| IoT | |
| IoT-edge-cloud continuum (IECC) | |
| IPM | |
| Isolation | |
| J | |
| JIT Compilation | |
| K | |
| Kernel-based benchmarking | |
| kinetic plasma physics | |
| Kubernetes | |
| L | |
| Large Language Models | |
| Large-Scale PIC Simulations | |
| laser | |
| Lifelong Learning | |
| Linearizability | |
| List scheduling | |
| LLM | |
| Load-Balancing | |
| Local/Neighborhood-based | |
| Lock-Freedom | |
| Long Reads Correction | |
| loop optimization | |
| loop pipelining | |
| Low-power Domain Architecture | |
| LSTM | |
| M | |
| Machine Learning | |
| Machine learning dashboard | |
| MAGIC NOR gate | |
| Malleability | |
| Massive data processing | |
| massively-parallel | |
| Matrix Multiplication | |
| Maximum | |
| medical device security | |
| Medical Image | |
| Medical images | |
| Medical Physics | |
| Memory Optimization | |
| Memory-mapped IO | |
| Memristor array | |
| Mental health | |
| metaOS | |
| Microservices applications | |
| mixed-precision computing | |
| MLIR | |
| Model deployment | |
| Model parallelism | |
| Modeling | |
| Modulo Scheduling | |
| MPI | |
| Mulit Core | |
| Multi Agent Systems | |
| Multi-Armed Bandit Algorithms | |
| multi-cluster | |
| Multicore | |
| N | |
| network configuration | |
| Neural architecture search | |
| Non-linear classification | |
| non-spatial ABMS | |
| Nuclear Physics | |
| numerical linear algebra | |
| numerical simulation | |
| Numerical Weather Prediction | |
| O | |
| OBDH | |
| ONNX Runtime | |
| Open-Source | |
| OpenCL | |
| OpenMP | |
| openPMD | |
| Optimization research | |
| orchestration | |
| out–of–equilibrium phenomena | |
| P | |
| pair production | |
| Parallel algorithm | |
| Parallel algorithms | |
| Parallel and Distributed computation | |
| Parallel Branch-and-Bound | |
| Parallel Computing | |
| Parallel CSR read | |
| Parallel Edgelist read | |
| Parallel file system | |
| Parallel I/O | |
| Parallel Label Propagation Algorithm (LPA) | |
| Parallel Link prediction | |
| Parallel patterns | |
| Parallel-Programming | |
| Parallelism | |
| Parallelism and Concurrency | |
| Parameterized Quantum Circuit | |
| Parsl | |
| Particle Swarm Optimization (PSO) | |
| particle-in-cell | |
| Performance | |
| Performance Engineering | |
| Performance evaluation | |
| Performance Monitoring and Analysis | |
| Performance Optimization | |
| Performance Portability | |
| Pervasive Computing | |
| pipelining | |
| platform | |
| PMIx | |
| Polyhedral model | |
| polyhedral techniques | |
| Portability | |
| Practical use-case | |
| Predictive Accuracy | |
| Prime factorization | |
| Programmable Logic | |
| Programming language | |
| programming model | |
| Python library | |
| PyTorch | |
| Q | |
| Quantum Annealing | |
| Quantum circuits | |
| Quantum computing | |
| Quantum gates | |
| quantum languages | |
| Quantum Machine Learning | |
| Quantum-Classical computing | |
| qubit allocation | |
| R | |
| Radiation Detectors | |
| radiation reaction | |
| Radiotherapy | |
| Real-world | |
| Recursive Doubling | |
| Reinforcement learning | |
| Resource allocation | |
| Resource Autoscaling | |
| Resource Elasticity | |
| Resource Heterogeneity | |
| Resource Management | |
| Resource Mapping | |
| Resource Overcommitment | |
| Resource Usage Forecasting | |
| RISCV | |
| RSA | |
| runtime security | |
| RVV-1.0 | |
| S | |
| Safe Memory Reclamation | |
| SAT | |
| Scalability | |
| Scalable HW/SW | |
| Scheduling | |
| Scientific | |
| Scientific Workflows | |
| Scientific workloads | |
| Secret-sharing | |
| Secure edge computing | |
| Security | |
| Serverless | |
| serverless computing | |
| service level guarantees | |
| service level objective (SLO) | |
| Shared Cache | |
| Side Effects | |
| SIMD | |
| Simulations | |
| SIP Solver | |
| Slurm | |
| Small computing devices | |
| Social networks | |
| Software | |
| Software Engineering | |
| Software Stacks | |
| space plasma physics | |
| Spanning trees | |
| Sparse Computation | |
| Sparse Tensor Compiler | |
| Sparse Tensors | |
| StarPU | |
| Stateful Functions | |
| Streaming I/O | |
| Suicide attempts | |
| SWAP-Test | |
| swarm | |
| Swarm Intelligence | |
| SYCL | |
| T | |
| TALP | |
| Task Graphs | |
| Task offloading | |
| Task scheduling | |
| Tensor compiler | |
| tensor cores | |
| Tensorized Program Tuning | |
| thread synchronization | |
| Throughput / Latency | |
| Tools | |
| Top-Down Microarchitecture Analysis | |
| Trade Embracing | |
| Transformer | |
| TVM | |
| U | |
| U-Net | |
| Uintah | |
| V | |
| Variational Quantum Algorithms | |
| Variational Quantum Eigensolver (VQE) | |
| Virtualization | |
| VQE | |
| vulnerability assessment | |
| W | |
| WCET Analysis | |
| WindFlow | |
| Workflow Management Systems (WMS) | |
| Workflows | |
| X | |
| XuanTie | |
| Y | |
| Yambo | |