Applications

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Firepile: Run-time Compilation for GPUs in Scala

Nathaniel Nystrom, Derek White, Kishen Das

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia GeForce 9800 GT, OpenCL, Package, Performance

October 13, 2011 by hgpu

A rendering method for simulated emission nebulae

Adam Carlson

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 460, OpenCL, Rendering, Thesis, Visualization

October 13, 2011 by hgpu

Introduction to GPU Radix Sort

Takahiro Harada, Lee Howes

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Tags: Algorithms, ATI, ATI Radeon HD 5870, ATI Radeon HD 6970, Computer science, OpenCL, Package, Sorting

October 13, 2011 by hgpu

Input Sensitivity of GPU Program Optimizations

Yixun Liu, Eddy Z. Zhang, Poornima Bhamidipati, Xipeng Shen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GT, OpenCL, Optimization, Performance, Tesla C1060

October 13, 2011 by hgpu

gpustats: GPU Library for Statistical Computing in Python

Andrew Cron, Wes McKinney

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Tags: Algorithms, Bayesian, Code generation, CUDA, Mathematics, nVidia, nVidia GeForce GTS 250, OpenCL, Package, Probability, Python, Statistics

October 13, 2011 by hgpu

Seamless Dynamic Runtime Reconfiguration in a Software-Defined Radio

Michael Dickens, J. Nicholas Laneman, Brian P Dunn

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Tags: Algorithms, OpenCL, Signal processing

October 13, 2011 by hgpu

Developing a High Performance GPGPU Compiler Using Cetus

Yi Yang, Huiyang Zhou

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Tags: ATI, ATI Radeon HD 5850, ATI Radeon HD 5870, Code generation, Compilers, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization

October 13, 2011 by hgpu

PlinkGPU: A Framework for GPU Acceleration of Whole Genome Data Analysis

Jeffrey Poznanovic

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Tags: Bioinformatics, Biology, CUDA, Genetics, nVidia, OpenCL, Tesla S1070

October 13, 2011 by hgpu

State of The Art Report on GPU

Rita Borgo, Ken Brodlie

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Tags: Computer science, CUDA, DirectX, GLSL, GPU cluster, Hardware, HLSL, Larrabee, nVidia, OpenGL, Programming techniques, Review

October 13, 2011 by hgpu

Optimizing a High Energy Physics (HEP) Toolkit on Heterogeneous Architectures

Yngve Sneen Lindal

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Tags: ATI, ATI Radeon HD 5870, Heterogeneous systems, High Energy Physics - Experiment, nVidia, nVidia GeForce GTX 470, OpenCL, Optimization, Physics, Review, Tesla C2050, Thesis

October 12, 2011 by hgpu

GPU-Based Translation-Invariant 2D Discrete Wavelet Transform for Image Processing

Dietmar Wippig, Bernd Klauer

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Tags: ATI, ATI Radeon HD 4870, Discrete Wavelet Transform, GLSL, Image processing, Java, nVidia, nVidia GeForce GTX 280, OpenGL, Shaders

October 12, 2011 by hgpu

High Performance Computing with Accelerators

K.A. Akshita

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Tags: Cell processor, Computer science, FPGA, nVidia, Performance, Review

October 12, 2011 by hgpu

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

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high performance computing on graphics processing units: hgpu.org

Applications

Firepile: Run-time Compilation for GPUs in Scala

A rendering method for simulated emission nebulae

Introduction to GPU Radix Sort

Input Sensitivity of GPU Program Optimizations

gpustats: GPU Library for Statistical Computing in Python

Seamless Dynamic Runtime Reconfiguration in a Software-Defined Radio

Developing a High Performance GPGPU Compiler Using Cetus

PlinkGPU: A Framework for GPU Acceleration of Whole Genome Data Analysis

State of The Art Report on GPU

Optimizing a High Energy Physics (HEP) Toolkit on Heterogeneous Architectures

GPU-Based Translation-Invariant 2D Discrete Wavelet Transform for Image Processing

High Performance Computing with Accelerators

Recent source codes

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

BoltzGen:Toward Universal Binder Design

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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