high performance computing on graphics processing units: hgpu.org

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A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Yi Yang, Ping Xiang, Jingfei Kong, Mike Mantor, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5870, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, OpenCL, Optimization, Package, Programming Languages

August 27, 2012 by hgpu

The nonequispaced FFT on graphics processing units

Susanne Kunis, Stefan Kunis

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Tags: Algorithms, Computer science, CUDA, FFT, nVidia, nVidia GeForce GTX 460, Package

August 26, 2012 by hgpu

Cosmological Calculations on the GPU

Deborah Bard, Matthew Bellis, Mark T. Allen, Hasmik Yepremyan, Jan M. Kratochvil

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Tags: Astrophysics, Cosmology and Extragalactic Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Tesla M2070

August 20, 2012 by hgpu

Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections

Ryan M. Layer, Kevin Skadron, Gabriel Robins, Ira M. Hall, Aaron R. Quinlan

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, nVidia, Package, Search, Sequence alignment

August 17, 2012 by hgpu

Rootbeer: Seamlessly using GPUs from Java

Philip C. Pratt-Szeliga, James W. Fawcett, Roy D. Welch

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Tags: Code generation, Computer science, CUDA, Java, nVidia, OpenCL, Package, Tesla C2050

August 17, 2012 by hgpu

Parametric Flows: Automated Behavior Equivalencing for Symbolic Analysis of Races in CUDA Programs

Peng Li, Guodong Li, Ganesh Gopalakrishnan

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Tags: Computer science, CUDA, nVidia, Package

August 16, 2012 by hgpu

vCUDA Framework Development for GPU Virtualization

Aashish Chauhan, Aditya T S, Bakul Mittal, Padmaraj R, Sridutt Nayak

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Package, Virtualization

August 15, 2012 by hgpu

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

B. Cloutier, B. K. Muite, P. Rigge

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Tags: Benchmarking, Computational Physics, CUDA, FFT, Fortran, Mathematical Software, nVidia, OpenACC, Package, Physics, Spectral methods, Tesla M2070

August 14, 2012 by hgpu

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Peter Wittek, Fernando M. Cucchietti

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Tags: Computational Physics, CUDA, MPI, nVidia, Package, Physics, Quantum Physics, Tesla M2090

August 14, 2012 by hgpu

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Kyungjoo Kim, Victor Eijkhout, Robert A. van de Geijn

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Tags: Computer science, Heterogeneous systems, Linear Algebra, nVidia, nVidia Quadro FX 5800, Package, Tesla M2070, Tesla S1070

August 13, 2012 by hgpu

Designing OP2 for GPU architectures

M.B. Giles, G.R. Mudalige, B. Spencer, C. Bertolli, I. Reguly

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Tags: Computer science, nVidia, nVidia GeForce GTX 560 Ti, Optimization, Package, Performance, Tesla C2070

August 11, 2012 by hgpu

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Ahmad Abdelfattah, Jack Dongarra, David Keyes, Hatem Ltaief

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Tags: Computer science, CUBLAS, CUDA, nVidia, Optimization, Package, Tesla C2070

August 10, 2012 by hgpu

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

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

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

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high performance computing on graphics processing units: hgpu.org

Packages

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

The nonequispaced FFT on graphics processing units

Cosmological Calculations on the GPU

Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections

Rootbeer: Seamlessly using GPUs from Java

Parametric Flows: Automated Behavior Equivalencing for Symbolic Analysis of Races in CUDA Programs

vCUDA Framework Development for GPU Virtualization

Performance of FORTRAN and C GPU Extensions for a Benchmark Suite of Fourier Pseudospectral Algorithms

A Second-Order Distributed Trotter-Suzuki Solver with a Hybrid Kernel

Dense Matrix Computation on a Heterogenous Architecture: A Block Synchronous Approach

Designing OP2 for GPU architectures

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Recent source codes

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

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

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

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