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Mixed-Resolution Patch-Matching

Harshit Sureka, P. J. Narayanan

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

September 3, 2012 by hgpu

GPU-accelerated WZ Factorization with the Use of the CUBLAS Library

Beata Bylina, Jaroslaw Bylina

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Tags: Computer science, CUBLAS, CUDA, Factorization, nVidia, Tesla C2050

September 3, 2012 by hgpu

Solving Systems of Polynomial Equations on a GPU

Robert A. Klopotek, Joanna Porter-Sobieraj

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 460

September 3, 2012 by hgpu

GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance

D. Foster

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Tags: Computer science, CUDA, Fault tolerance, Genetic programming, nVidia, nVidia GeForce GTX 480

September 1, 2012 by hgpu

A Portable High-Productivity Approach to Program Heterogeneous Systems

Zeki Bozkus, Basilio B. Fraguela

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Tags: Computer science, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Tesla C2070

September 1, 2012 by hgpu

Towards large-scale network analytics

Xintian Yang

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Tags: Algorithms, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C1060, Thesis, Visualization

September 1, 2012 by hgpu

Parallel GPU-accelerated Recursion-based Generators of Pseudorandom Numbers

Przemyslaw Stpiczynski, Dominik Szalkowski, Joanna Potiopa

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenCL, Tesla M2050

September 1, 2012 by hgpu

GAROP: Genetic Algorithm framework for Running On Parallel environments

Tomoyuki Hiroyasu, Ryosuke Yamanaka, Masato Yoshimi, Mitsunori Miki

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Tesla C2050

September 1, 2012 by hgpu

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Wei Jiang

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Tags: Computer science, CUDA, Data mining, GPU cluster, Heterogeneous systems, MapReduce, MPI, nVidia, Tesla C2050, Thesis

September 1, 2012 by hgpu

Multi-GPU Implementation of the Uniformization Method for Solving Markov Models

Marek Karwacki, Beata Bylina, Jaroslaw Bylina

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Tags: Computer science, CUDA, nVidia, Sparse matrix, Tesla M2050

August 31, 2012 by hgpu

CUDA-Accelerated Data-Mining for Putative Heteromeric Transcription Factors and Target Genes Using Microarray Gene Expression Profiles

Edward A. Salinas, Amitava Karmaker

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Tags: Algorithms, Biology, Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 590

August 31, 2012 by hgpu

SWM: Simplified Wu-Manber for GPU-based Deep Packet Inspection

Lucas Vespa, Ning Weng

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Tags: ATI, ATI Radeon HD 6450, Computer science, Hashing, OpenCL, Security

August 31, 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

Mixed-Resolution Patch-Matching

GPU-accelerated WZ Factorization with the Use of the CUBLAS Library

Solving Systems of Polynomial Equations on a GPU

GPU Acceleration of Genetic Algorithms for Subset Selection for Partial Fault Tolerance

A Portable High-Productivity Approach to Program Heterogeneous Systems

Towards large-scale network analytics

Parallel GPU-accelerated Recursion-based Generators of Pseudorandom Numbers

GAROP: Genetic Algorithm framework for Running On Parallel environments

A Map-Reduce-Like System for Programming and Optimizing Data-Intensive Computations on Emerging Parallel Architectures

Multi-GPU Implementation of the Uniformization Method for Solving Markov Models

CUDA-Accelerated Data-Mining for Putative Heteromeric Transcription Factors and Target Genes Using Microarray Gene Expression Profiles

SWM: Simplified Wu-Manber for GPU-based Deep Packet Inspection

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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