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KUDA: GPU Accelerated Split Race Checker

Can Bekar, Tayfun Elmas, Semih Okur, Serdar Tasiran

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 465, Package, Performance, Programming techniques

March 6, 2012 by hgpu

Simultaneous floating-point sine and cosine for VLIW integer processors

Claude-Pierre Jeannerod, Jingyan Jourdan-Lu

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Tags: Algorithms, Computer science, Programming techniques

February 27, 2012 by hgpu

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

Peng Di, Jingling Xue

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Tags: Computer science, CUDA, nVidia, Performance, Programming techniques, Tesla C1060

February 20, 2012 by hgpu

An Efficient Implementation of Double Precision 1-D FFT for GPUs Using CUDA

Yanjun Liu, Licai Guo, Bin Luo, Xingyi Zhang

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 260, Programming techniques

February 17, 2012 by hgpu

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Chris Lupo, Zoe J. Wood, Christine Victorino

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Tags: Computer science, CUDA, Education, nVidia, nVidia GeForce GTX 470, Performance, Programming techniques, Raytracing, Rendering

February 14, 2012 by hgpu

Automatic Performance Optimization in ViennaCL for GPUs

Karl Rupp, Josef Weinbub, Florian Rudolf

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Tags: Algorithms, ATI, ATI Radeon HD 5850, Computer science, Linear Algebra, nVidia, nVidia GeForce 8500 GT, nVidia GeForce GTX 470, OpenCL, Optimization, Package, Performance, Programming techniques

February 10, 2012 by hgpu

Enabling Traceability in MDE to Improve Performance of GPU Applications

Antonio Wendell De Oliveira Rodrigues, Vincent Aranega, Anne Etien, Frederic Guyomarc'H, Jean-Luc Dekeyser

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Tags: Algorithms, Computer science, nVidia, OpenCL, Performance, Programming techniques, Tesla S1070

February 7, 2012 by hgpu

Automated Techniques for Enabling Efficient MPI Application Migration

Karolina Sarnowska-Upton, Andrew Grimshaw

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Tags: Computer science, MPI, Programming techniques

January 20, 2012 by hgpu

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

Michael T. Garba, Horacio Gonzalez-Velez

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Tags: Computer science, Heterogeneous systems, Linear Algebra, Programming techniques

January 19, 2012 by hgpu

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Xin Liu, Daqiang Zhang, Jingyu Zhou, Minyi Guo, Yao Shen

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Tags: Computer science, nVidia, nVidia GeForce 9400 M, OpenCL, Optimization, Package, Programming techniques

January 17, 2012 by hgpu

Programming on Parallel Machines: GPU, Multicore, Clusters and More

Norm Matloff

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Tags: Book, Computer science, CUDA, MPI, nVidia, Package, Programming techniques, Review, Tutorial

January 16, 2012 by hgpu

GKLEE: Concolic Verification and Test Generation for GPUs

Guodong Li, Peng Li, Geof Sawaya, Ganesh Gopalakrishnan, Indradeep Ghosh, Sreeranga P. Rajan

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Programming techniques

January 12, 2012 by hgpu

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Dr. Kernel: Reinforcement Learning Done Right for Triton Kernel Generations

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

Generating Literature-Driven Scientific Theories at Scale

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high performance computing on graphics processing units: hgpu.org

KUDA: GPU Accelerated Split Race Checker

Simultaneous floating-point sine and cosine for VLIW integer processors

Model-Driven Tile Size Selection for DOACROSS Loops on GPUs

An Efficient Implementation of Double Precision 1-D FFT for GPUs Using CUDA

Cross Teaching Parallelism and Ray Tracing: A Project-based Approach to Teaching Applied Parallel Computing

Automatic Performance Optimization in ViennaCL for GPUs

Enabling Traceability in MDE to Improve Performance of GPU Applications

Automated Techniques for Enabling Efficient MPI Application Migration

Asymptotic Peak Utilisation in Heterogeneous Parallel CPU/GPU Pipelines: A Decentralised Queue Monitoring Strategy

A Template Metaprogramming Approach to Support Parallel Programs for Multicores

Programming on Parallel Machines: GPU, Multicore, Clusters and More

GKLEE: Concolic Verification and Test Generation for GPUs

Recent source codes

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

DICE: Diffusion Large Language Models Excel at Generating CUDA Kernels

KernelGYM & Dr. Kernel: A distributed GPU environment and a collection of RL training methods to support RL for Kernel Generations

Vortex-Optimized Light-weight Toolchain (VOLT)

SciDef: Automated Definition Extraction from Scientific Literature

bioagent-bench: Benchmark for evaluating LLM agents in bioinformatics

Benchmark suite for LLM inference on NVIDIA consumer GPUs

Theorizer: from the paper Generating Literature-Driven Scientific Discoveries at Scale

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