high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

Optimization Techniques for CUDA Application

Tushar Athawale, Xie Xu

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, Optimization, Performance

August 28, 2012 by hgpu

A Research of MapReduce with GPU Acceleration

Miao Xin, Hao Li, Joan Lu

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Tags: ATI, ATI Radeon HD 5450, Computer science, Distributed computing, Heterogeneous systems, MapReduce, OpenCL

August 28, 2012 by hgpu

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

Low-Latency Elliptic Curve Scalar Multiplication

Joppe W. Bos

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Tags: Algorithms, Computer science, CUDA, Elliptic curves, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 465, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Security

August 27, 2012 by hgpu

An Implementation of Coincidence Algorithm on Graphic Processing Units

Thitipan Tongsiri, Prabhas Chongstitvatana

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 280

August 27, 2012 by hgpu

Perceptually Optimized Real-Time Computer Graphics

Jeffrey Smith

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Tags: ATI, ATI Radeon HD 7970, Collision detection, Computer science, OpenCL, Optimization, Raytracing, Thesis

August 27, 2012 by hgpu

GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Sarod Yatawatta, Sanaz Kazemi, Saleem Zaroubi

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Tags: Algorithms, Astrophysics, CUBLAS, CUDA, Linear Algebra, Nonlinear optimization, nVidia, Optimization, Tesla M1060

August 26, 2012 by hgpu

Efficient Dynamic Program Monitoring on Multi-Core Platforms

Guojin He

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, Performance, Security, Thesis

August 26, 2012 by hgpu

Scalable Clustering for Vision using GPUs

Wasif Mohiuddin

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Tags: Algorithms, Clustering, Computer science, Computer vision, CUDA, Data mining, nVidia, nVidia GeForce 8600, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla T10, Thesis

August 26, 2012 by hgpu

Designing a Unified Programming Model for Heterogeneous Machines

Michael Garland, Manjunath Kudlur, Yili Zheng

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, Tesla C2050, Tesla X2090

August 26, 2012 by hgpu

Is OpenCL a suitable platform for algorithm development in health care systems?

Mattias Larsson

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Tags: Algorithms, Medicine, nVidia, nVidia GeForce GTX 470, nVidia Quadro FX 1800, OpenCL, Python, Thesis

August 26, 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

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

Programming

Optimization Techniques for CUDA Application

A Research of MapReduce with GPU Acceleration

A Unified Optimizing Compiler Framework for Different GPGPU Architectures

Low-Latency Elliptic Curve Scalar Multiplication

An Implementation of Coincidence Algorithm on Graphic Processing Units

Perceptually Optimized Real-Time Computer Graphics

GPU Accelerated Nonlinear Optimization in Radio Interferometric Calibration

Efficient Dynamic Program Monitoring on Multi-Core Platforms

Scalable Clustering for Vision using GPUs

Designing a Unified Programming Model for Heterogeneous Machines

Is OpenCL a suitable platform for algorithm development in health care systems?

The nonequispaced FFT on graphics processing units

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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