high performance computing on graphics processing units: hgpu.org

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Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

Deian Stefan

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Optimization, Security, Stream Ciphers, Thesis

October 21, 2011 by hgpu

Efficient Synchronization Primitives for GPUs

Jeff A. Stuart, John D. Owens

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Operating systems

October 21, 2011 by hgpu

Characterization of FPGA-based High Performance Computers

Karl Savio Pimenta Pereira

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Tags: Algorithms, Benchmarking, Chemistry, Computer science, CUDA, DSP, FFT, FPGA, Molecular dynamics, nVidia, nVidia GeForce GTX 280, OpenCL, Tesla C2050, Thesis

October 18, 2011 by hgpu

Fast Implementation of DGEMM on Fermi GPU

Guangming Tan, Linchuan Li, Sean Triechle, Everett Phillips, Yungang Bao, Ninghui Sun

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Tags: Algorithms, Benchmarking, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, Optimization, Performance, Tesla C2050

October 17, 2011 by hgpu

CudaDMA: Optimizing GPU Memory Bandwidth via Warp Specialization

Michael Bauer, Henry Cook, Brucek Khailany

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Tags: Benchmarking, Computer science, CUDA, Memory model, nVidia, Optimization, Package, Performance, Tesla C2050

October 14, 2011 by hgpu

Towards scalar synchronization in SIMT architectures

Arun Ramamurthy

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Tags: Benchmarking, Computer science, CUDA, nVidia, OpenCL, Performance, Programming techniques, Thesis

October 14, 2011 by hgpu

Benchmarking Across Platforms: European Option Pricing

Igor N. Kozin

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Tags: AMD FireStream 9270, Benchmarking, Cell processor, Computer science, CUDA, Finance, nVidia, OpenCL, Tesla M2050, Tesla S1070

October 13, 2011 by hgpu

Evaluating performance and portability of OpenCL programs

Kazuhiko Komatsu, Katsuto Sato, Yusuke Arai, Kentaro Koyama, Hiroyuki Takizawa, Hiroaki Kobayashi

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Optimization, Performance, PTX, Tesla C1060

October 12, 2011 by hgpu

Performance Characterization and Optimization of Atomic Operations on AMD GPUs

Marwa Elteir, Heshan Lin, Wu-chun Feng

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, OpenCL, Optimization, Performance, Programming techniques

October 11, 2011 by hgpu

Performance and Power Analysis of ATI GPU: A Statistical Approach

Ying Zhang, Yue Hu, Bin Li, Lu Peng

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Tags: ATI, ATI Radeon HD 5870, Benchmarking, Computer science, Energy-efficient computing, OpenCL, Performance

October 11, 2011 by hgpu

On the Efficacy of a Fused CPU+GPU Processor (or APU) for Parallel Computing

Mayank Daga, Ashwin M. Aji, Wu-chun Feng

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Tags: APU, ATI, ATI Radeon HD 5450, ATI Radeon HD 5870, Benchmarking, Computer science, Heterogeneous systems, OpenCL, Performance

October 11, 2011 by hgpu

Static Compilation Analysis for Host-Accelerator Communication Optimization

Mehdi Amini, Fabien Coelho, Francois Irigoin, Ronan Keryell

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Tags: Benchmarking, Computer science, CUDA, Numerical simulation, nVidia, OpenMP, Optimization, Package, Tesla C2050

October 11, 2011 by hgpu

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

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

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high performance computing on graphics processing units: hgpu.org

Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

Efficient Synchronization Primitives for GPUs

Characterization of FPGA-based High Performance Computers

Fast Implementation of DGEMM on Fermi GPU

CudaDMA: Optimizing GPU Memory Bandwidth via Warp Specialization

Towards scalar synchronization in SIMT architectures

Benchmarking Across Platforms: European Option Pricing

Evaluating performance and portability of OpenCL programs

Performance Characterization and Optimization of Atomic Operations on AMD GPUs

Performance and Power Analysis of ATI GPU: A Statistical Approach

On the Efficacy of a Fused CPU+GPU Processor (or APU) for Parallel Computing

Static Compilation Analysis for Host-Accelerator Communication Optimization

Recent source codes

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

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

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