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A Parallel Cellular Automaton Simulation Framework using CUDA

Ryno Fourie

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Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, nVidia GeForce GT 650 M, nVidia GeForce GTX 780, Thesis

June 1, 2015 by hgpu

Optimized Password Recovery for Encrypted RAR on GPUs

Xiaojing An, Haojun Zhao, Lulu Ding, Zhongrui Fan, Hanyue Wang

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Tags: AES, AMD FirePro W8000, ATI, Computer science, Hashing, OpenCL, Security

May 29, 2015 by hgpu

Large-scale network simulation over heterogeneous computing architecture

Bilel Ben Romdhanne

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 860, Thesis

May 29, 2015 by hgpu

Simple sorting algorithm test based on CUDA

Hongyu Meng, Fangjin Guo

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 520, Sorting

May 29, 2015 by hgpu

Revisiting Actor Programming in C++

Dominik Charousset, Raphael Hiesgen, Thomas C. Schmidt

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Tags: Algorithms, Computer science, Heterogeneous systems, MPI, nVidia, OpenCL, OpenMPI, Package, Programming Languages, Tesla C2075

May 28, 2015 by hgpu

Towards Modeling Energy Consumption of Xeon Phi

Gary Lawson, Masha Sosonkina, Yuzhong Shen

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Tags: Computer science, Energy-efficient computing, Intel Xeon Phi, Molecular dynamics

May 28, 2015 by hgpu

Implementing a Photorealistic Rendering System using GLSL

Toshiya Hachisuka

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Tags: 3D Graphics and Realism, ATI, ATI Radeon HD 5870, Computer science, GLSL, Intel HD 5000, Intel HD Graphics 4000, nVidia, nVidia GeForce GT 630, nVidia GeForce GTX 680, OpenGL, Package, Raytracing, Rendering

May 28, 2015 by hgpu

Analysis of GPU Parallel Computing based on Matlab

Mingzhe Wang, Bo Wang, Qiu He, Xiuxiu Liu, Kunshuai Zhu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 540 M, Performance

May 28, 2015 by hgpu

ACCTuner: OpenACC Auto-Tuner For Accelerated Scientific Applications

Fatemah Ramzy AlZayer

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Tags: Algorithms, Computer science, Machine learning, Nearest neighbour, nVidia, OpenACC, Tesla K20, Tesla K40, Thesis

May 25, 2015 by hgpu

An Introduction to OpenCL C++

AJ Guillon

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Tags: Computer science, OpenCL, Overview, Tutorial

May 22, 2015 by hgpu

Key derivation functions and their GPU implementation

Ondrej Mosnacek

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Tags: Benchmarking, Computer science, nVidia, OpenCL, Package, Security, Tesla K20, Thesis

May 22, 2015 by hgpu

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries

Jason Power, Yinan Li, Mark D. Hill, Jignesh M. Patel, David A. Wood

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Tags: Algorithms, AMD Radeon R7 240, ATI, ATI Radeon HD 7970, Computer science, Databases, Heterogeneous systems, OpenCL

May 22, 2015 by hgpu

CUDAnalyst (CUDA + Analyst)

Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation

CodegenBench

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Evaluating CUDA Tile for AI Workloads on Hopper and Blackwell GPUs

Device Virtual Machine (DVM)

DVM: Real-Time Kernel Generation for Dynamic AI Models

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

See all packages

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high performance computing on graphics processing units: hgpu.org

A Parallel Cellular Automaton Simulation Framework using CUDA

Optimized Password Recovery for Encrypted RAR on GPUs

Large-scale network simulation over heterogeneous computing architecture

Simple sorting algorithm test based on CUDA

Revisiting Actor Programming in C++

Towards Modeling Energy Consumption of Xeon Phi

Implementing a Photorealistic Rendering System using GLSL

Analysis of GPU Parallel Computing based on Matlab

ACCTuner: OpenACC Auto-Tuner For Accelerated Scientific Applications

An Introduction to OpenCL C++

Key derivation functions and their GPU implementation

Toward GPUs being mainstream in analytic processing: An initial argument using simple scan-aggregate queries

Recent source codes

CUDAnalyst (CUDA + Analyst)

CodegenBench

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels

CUDA Kernel Fusion Benchmarks

IntelliKit: Agent-first tooling for AMD hardware

DITRON: Distributed Compiler based on Triton for Parallel Systems

CuTile Benchmark Suite: Performance and Productivity Tradeoffs for GPU Kernel Programming on Blackwell Architecture

Device Virtual Machine (DVM)

MegaTrain: Full Precision Training of 100B+ Parameter Large Language Models on a Single GPU

Agentic Code Optimization via Compiler-LLM Cooperation

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