high performance computing on graphics processing units: hgpu.org

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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

Firepile: Run-time Compilation for GPUs in Scala

Nathaniel Nystrom, Derek White, Kishen Das

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia GeForce 9800 GT, OpenCL, Package, Performance

October 13, 2011 by hgpu

A rendering method for simulated emission nebulae

Adam Carlson

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 460, OpenCL, Rendering, Thesis, Visualization

October 13, 2011 by hgpu

Introduction to GPU Radix Sort

Takahiro Harada, Lee Howes

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, OpenCL, Package, Sorting

October 13, 2011 by hgpu

Input Sensitivity of GPU Program Optimizations

Yixun Liu, Eddy Z. Zhang, Poornima Bhamidipati, Xipeng Shen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, OpenCL, Optimization, Performance, Tesla C1060

October 13, 2011 by hgpu

Developing a High Performance GPGPU Compiler Using Cetus

Yi Yang, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 5870, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

October 13, 2011 by hgpu

State of The Art Report on GPU

Rita Borgo, Ken Brodlie

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Tags: Computer science, CUDA, DirectX, GLSL, GPU cluster, Hardware, HLSL, Larrabee, nVidia, OpenGL, Programming techniques, Review

October 13, 2011 by hgpu

High Performance Computing with Accelerators

K.A. Akshita

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Tags: Cell processor, Computer science, FPGA, nVidia, Performance, Review

October 12, 2011 by hgpu

Ray Tracing on Graphics Hardware

Toshiya Hachisuka

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Tags: Algorithms, Computer science, CUDA, nVidia, Raytracing, Review

October 12, 2011 by hgpu

Implementing modular arithmetic using OpenCL

Fredrik Gundersen

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Tags: Algorithms, Computer science, Modular arithmetic, nVidia, nVidia GeForce GTX 285, OpenCL, Security, Thesis

October 12, 2011 by hgpu

General purpose computing on graphics processing units using OpenCL

Mats Johansson, Oscar Winter

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Tags: Algorithms, ATI, ATI Radeon HD 4870, ATI Stream, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 480, OpenCL, Optical flow, Optimization, Thesis

October 12, 2011 by hgpu

Distance Fields Accelerated with OpenCL

Erik Sundholm

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Tags: ATI, Collision detection, Computer science, nVidia, OpenCL, Thesis

October 12, 2011 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

Benchmarking Across Platforms: European Option Pricing

Firepile: Run-time Compilation for GPUs in Scala

A rendering method for simulated emission nebulae

Introduction to GPU Radix Sort

Input Sensitivity of GPU Program Optimizations

Developing a High Performance GPGPU Compiler Using Cetus

State of The Art Report on GPU

High Performance Computing with Accelerators

Ray Tracing on Graphics Hardware

Implementing modular arithmetic using OpenCL

General purpose computing on graphics processing units using OpenCL

Distance Fields Accelerated with OpenCL

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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