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Bound the Peak Performance of SGEMM on GPU with software-controlled fast memory

Junjie Lai, Andre Seznec

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Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 580, Performance

April 7, 2012 by hgpu

Robust Computational Tools for Multiple Testing With Genetic Association Studies

William L. Welbourn Jr.

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Thesis

April 7, 2012 by hgpu

GPU-based Line Probing Techniques for Mikami Routing Algorithm

Chiu-Yi Chan, Jiun-Li Lin, Lung-Sheng Chien, Tsung-Yi Ho, Yi-Yu Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

April 7, 2012 by hgpu

OpenCL framework for a CPU, GPU, and FPGA Platform

Taneem Ahmed

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Tags: ATI, ATI Radeon HD 5450, Computer science, FPGA, Heterogeneous systems, OpenCL, Thesis

April 6, 2012 by hgpu

High-Performance Energy-Efficient Multicore Embedded Computing

Arslan Munir, Sanjay Ranka, Ann Gordon-Ross

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Tags: Computer science, Embedded high-performance computing, Energy-efficient computing, Review

April 6, 2012 by hgpu

Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units

Yaodong Zhang, Kiarash Adl, James Glass

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Tags: Computer science, CUDA, Nearest neighbour, nVidia, nVidia GeForce GTX 580

April 6, 2012 by hgpu

Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing

Paul A. Navratil, Donald S. Fussell, Calvin Lin, Hank Childs

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Tags: Algorithms, Computer science, N-body simulation, Raytracing, Visualization

April 6, 2012 by hgpu

Visualization of Pareto Solutions by Spherical Self-Organizing Map and It’s acceleration on a GPU

Masato Yoshimi, Takuya Kuhara, Kaname Nishimoto, Mitsunori Miki, Tomoyuki Hiroyasu

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8400 GS, nVidia GeForce GTX 280, Optimization, Self-organizing map, Tesla C1060, Visualization

April 5, 2012 by hgpu

A Programmable Processing Array Architecture Supporting Dynamic Task Scheduling and Module-Level Prefetching

Junghee Lee, Hyung Gyu Lee, Soonhoi Ha, Jongman Kim, Chrysostomos Nicopoulos

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro NVS 295, Prefetch, Programming techniques, Task scheduling

April 5, 2012 by hgpu

Enhancing Performance of Simulations using GPGPU

Shadi Alawneh, Dennis Peters

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia

April 5, 2012 by hgpu

A High-Performance Brownian Bridge for GPUs: Lessons for Bandwidth Bound Applications

Jacques Du Toit

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Source codes

Tags: Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla C2050

April 4, 2012 by hgpu

Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation

Ziyu Guo, Xipeng Shen

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Tags: Code generation, Compilers, Computer science, CUDA, nVidia

April 4, 2012 by hgpu

True 4-Bit Quantized CNN Training on CPU

True 4-Bit Quantized Convolutional Neural Network Training on CPU: Achieving Full-Precision Parity

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

Hunting CUDA Bugs at Scale with cuFuzz

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

Making LLMs Optimize Multi-Scenario CUDA Kernels Like Experts

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Bound the Peak Performance of SGEMM on GPU with software-controlled fast memory

Robust Computational Tools for Multiple Testing With Genetic Association Studies

GPU-based Line Probing Techniques for Mikami Routing Algorithm

OpenCL framework for a CPU, GPU, and FPGA Platform

High-Performance Energy-Efficient Multicore Embedded Computing

Fast Spoken Query Detection Using Lower-Bound Dynamic Time Warping on Graphical Processing Units

Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing

Visualization of Pareto Solutions by Spherical Self-Organizing Map and It’s acceleration on a GPU

A Programmable Processing Array Architecture Supporting Dynamic Task Scheduling and Module-Level Prefetching

Enhancing Performance of Simulations using GPGPU

A High-Performance Brownian Bridge for GPUs: Lessons for Bandwidth Bound Applications

Fine-Grained Treatment to Synchronizations in GPU-to-CPU Translation

Recent source codes

True 4-Bit Quantized CNN Training on CPU

cuFuzz: A GPU-oriented coverage-guided fuzzer for userland CUDA application

KernelSkill: A Multi-Agent Framework for GPU Kernel Optimization

MSKernelBench & CUDAMaster

EvoScientist: Harness Vibe Research with Self-evolving AI Scientists

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

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