high performance computing on graphics processing units: hgpu.org

Zhu Zhu, Yu Sun, Dhatri Parakal, Bo Fang, Steven Farrell, Gregory H. Bauer, Brett Bode, Ian T. Foster, Michael E. Papka, William Gropp, Zhao Zhang, Lishan Yang

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Tags: Computer science, HPC, Memory, nVidia, nVidia A100, nVidia A40

August 10, 2025 by hgpu

ConTraPh: Contrastive Learning for Parallelization and Performance Optimization

Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Nesreen K. Ahmed, Theodore L. Willke, Ali Jannesari

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Tags: Code generation, Computer science, Heterogeneous systems, HPC, LLM, nVidia, OpenACC, OpenCL, OpenMP, Tesla V100

August 10, 2025 by hgpu

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

Antonio De Caro, Gennaro Cordasco, Federico Ficarelli, Biagio Cosenza

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Tags: Biology, Chemistry, Computer science, CUDA, MPI, nVidia, nVidia V100, oneAPI, Package

August 10, 2025 by hgpu

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

Daichi Mukunoki

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Tags: Computer science, Matrix multiplication, nVidia, nVidia GeForce RTX 5060 Ti, Package, Performance

August 10, 2025 by hgpu

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

Sarunas Kalade, Graham Schelle

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Tags: Code generation, Computer science, Machine learning, Programming Languages

August 3, 2025 by hgpu

GBOTuner: Autotuning of OpenMP Parallel Codes with Bayesian Optimization and Code Representation Transfer Learning

Kimsong Lor

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Tags: Bayesian, Computer science, Fortran, Neural networks, OpenMP, Thesis

August 3, 2025 by hgpu

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

Geak: Introducing Triton Kernel AI Agent & Evaluation Benchmarks

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

OpenDwarfs 2025: Modernizing the OpenDwarfs Benchmark Suite for Heterogeneous Computing

Specx: Speculative task-based runtime system

Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

See all packages

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high performance computing on graphics processing units: hgpu.org

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

The Fused Kernel Library: A C++ API to Develop Highly-Efficient GPU Libraries

Block: Balancing Load in LLM Serving with Context, Knowledge and Predictive Scheduling

Performant Unified GPU Kernels for Portable Singular Value Computation Across Hardware and Precision

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

AGFT: An Adaptive GPU Frequency Tuner for Real-Time LLM Inference Optimization

Understanding the Landscape of Ampere GPU Memory Errors

ConTraPh: Contrastive Learning for Parallelization and Performance Optimization

SIGMo: High-Throughput Batched Subgraph Isomorphism on GPUs for Molecular Matching

DGEMM without FP64 Arithmetic – using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

NPUEval: Optimizing NPU Kernels with LLMs and Open Source Compilers

GBOTuner: Autotuning of OpenMP Parallel Codes with Bayesian Optimization and Code Representation Transfer Learning

Recent source codes

Luthier: Bridging Auto-Tuning and Vendor Libraries for Efficient Deep Learning Inference

Fused Kernel Library (FKL)

GPUHammer: Rowhammer Attacks on GPU Memories are Practical

Block: Balance Loader of LLM Serving with Context, Knowledge and Predictive Scheduling

SIGMo: Scalable Isomorphism Graph Matching on GPUs

DGEMM without FP64 Arithmetic - using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme

GEAK-agent: LLM-based AI agent, which can write correct and efficient GPU kernels automatically

OpenDwarfs 2025: re-engineered version of the OpenDwarfs benchmark suite, for compatibility with modern platforms

Specx: Speculative task-based runtime system

Mutual-Supervised Learning for Sequential-to-Parallel Code Translation

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