high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

3D FFT on a Single FPGA

Benjamin Humphries, Hansen Zhang, Jiayi Sheng, Raphael Landaverde, Martin C. Herbordt

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Tags: Computer science, CUDA, FFT, FPGA, nVidia, Tesla C1060, Tesla K20

May 2, 2014 by hgpu

Analysis of SuperLU Solvers on Intel MIC Architecture

Ahmet Duran, M. Serdar Celebi, Bora Akaydin, Mehmet Tuncel, Figen Oztoprak

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Tags: Computer science, Intel Xeon Phi, Linear Algebra, Sparse matrix

May 2, 2014 by hgpu

Address Selection for Efficient Barriers on the Intel Xeon Phi

Romain Dolbeau

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Tags: Computer science, Intel Xeon Phi, Performance

May 2, 2014 by hgpu

Thickness computation of trimmed B-Rep model using GPU ray tracing

Gregoire Lemasson, Jean-Claude Iehl, Florence Zara, Behzad Shariat, Vincent Baudet, Philippe Arthaud

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Raytracing

April 30, 2014 by hgpu

Accelerating Ant Colony Optimization-based Edge Detection on the GPU using CUDA

Laurence Dawson, Iain A. Stewart

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, Metaheuristics, nVidia, nVidia GeForce GTX 580

April 30, 2014 by hgpu

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

Ethel Bardsley, Alastair F. Donaldson, John Wickerson

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Tags: Computer science, OpenCL, Programming techniques

April 30, 2014 by hgpu

SUPERGLUE: A Shared Memory Framework Using Data Versioning for Dependency-Aware Task-Based Parallelization

Martin Tillenius

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Source codes

Tags: Algorithms, Computer science, Intel Xeon Phi, OpenMP, Package, Task scheduling

April 29, 2014 by hgpu

Heterogeneous Computing and Grid Scheduling with Hierarchically Parallel Evolutionary Algorithms

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li, Juan Yi

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Task scheduling

April 29, 2014 by hgpu

Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing

Alexander Agathos, Jun Li, Dana Petcu, Antonio Plaza

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Sensing, Tesla M2070

April 29, 2014 by hgpu

A GPU Accelerated Simulator for CO2 Storage

Elisabeth K Prestegard

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Tags: Computer science, CUDA, Finite volume method, nVidia, nVidia GeForce GT 218, Physics, Thesis

April 29, 2014 by hgpu

Piko: A Design Framework for Programmable Graphics Pipelines

Anjul Patney, Stanley Tzeng, Kerry A. Seitz Jr., John D. Owens

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Tags: 3D Graphics and Realism, Code generation, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, PTX, Rasterization, Raytracing, Rendering

April 29, 2014 by hgpu

On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

A. Castello, J. Duato, R. Mayo, A. J. Pena, E. S. Quintana-Orti, V. Roca, F. Silla

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Tags: Bioinformatics, Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Virtualization

April 27, 2014 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

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high performance computing on graphics processing units: hgpu.org

Applications

3D FFT on a Single FPGA

Analysis of SuperLU Solvers on Intel MIC Architecture

Address Selection for Efficient Barriers on the Intel Xeon Phi

Thickness computation of trimmed B-Rep model using GPU ray tracing

Accelerating Ant Colony Optimization-based Edge Detection on the GPU using CUDA

KernelInterceptor: automating GPU kernel verification by intercepting kernels and their parameters

SUPERGLUE: A Shared Memory Framework Using Data Versioning for Dependency-Aware Task-Based Parallelization

Heterogeneous Computing and Grid Scheduling with Hierarchically Parallel Evolutionary Algorithms

Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing

A GPU Accelerated Simulator for CO2 Storage

Piko: A Design Framework for Programmable Graphics Pipelines

On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

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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