high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

RAR password decryption by utilizing GPU

Yang Zhang, Guo-dong Sheng

Tags: Archivers, Computer science, Security

March 19, 2011 by hgpu

Clipmapping on the GPU

Roger Crawfis, Eric Noble, Michael Ford, Frederic Kuck, Eric Wagner

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, GLSL, nVidia, nVidia GeForce 6800 Ultra, nVidia GeForce 7800 GTX, OpenGL, Visualization

March 19, 2011 by hgpu

A Fast GEMM Implementation On a Cypress GPU

Naohito Nakasato

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, ATI Stream, Computer science, Linear Algebra

March 18, 2011 by hgpu

Bump Mapping Unparametrized Surfaces on the GPU

Morten S. Mikkelsen

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Tags: Computer science, DirectX, Real-time graphics, Rendering

March 18, 2011 by hgpu

Hardware Acceleration of EDA Algorithms: GPU Architecture and the CUDA Programming Model

Kanupriya Gulati and Sunil P. Khatri

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Tags: Book, CAD, Computer science, CUDA, Electronic design automation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 280, nVidia Quadro FX 5800, Review

March 18, 2011 by hgpu

Scientific Computation Through a GPU

Genna Cummins, Rob Adams, Theodore Newell

Tags: Computer science, CUDA, Linear Algebra, nVidia

March 18, 2011 by hgpu

Real-time ray tracing of implicit surfaces on the GPU

Jag Mohan Singh, P. J. Narayanan

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Tags: 3D Graphics and Realism, Computer science, GLSL, nVidia, nVidia GeForce 8800 GTX, OpenGL, Raytracing, Rendering

March 18, 2011 by hgpu

FPGA vs. GPU for sparse matrix vector multiply

Yan Zhang, Yasser H. Shalabi, Rishabh Jain, Krishna K. Nagar, Jason D. Bakos

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Tags: Computer science, CUDA, FPGA, Linear Algebra, nVidia, nVidia GeForce GTX 260, Sparse matrix

March 18, 2011 by hgpu

2D and 3D level-set algorithms on GPU

G. J. Tornai, G. Cserey

Tags: Algorithms, Computer science, Computer vision

March 18, 2011 by hgpu

Task Scheduling of Parallel Processing in CPU-GPU Collaborative Environment

Lei Wang, Yong-Zhong Huang, Xin Chen, Chun-Yan Zhang

Tags: Algorithms, Computer science, nVidia, nVidia GeForce 7600 GT, Task scheduling

March 17, 2011 by hgpu

Language virtualization for heterogeneous parallel computing

Hassan Chafi, Zach DeVito, Adriaan Moors, Tiark Rompf, Arvind K. Sujeeth, Pat Hanrahan, Martin Odersky, Kunle Olukotun

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Tags: Algorithms, Code generation, Computer science, Heterogeneous systems, High-level Languages

March 17, 2011 by hgpu

Implementation of algorithms with a fine-grained parallelism on GPUs

K. Kalgin

Tags: Algorithms, Cellular automata, Computer science, CUDA, nVidia, Programming techniques

March 17, 2011 by hgpu

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

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

RAR password decryption by utilizing GPU

Clipmapping on the GPU

A Fast GEMM Implementation On a Cypress GPU

Bump Mapping Unparametrized Surfaces on the GPU

Hardware Acceleration of EDA Algorithms: GPU Architecture and the CUDA Programming Model

Scientific Computation Through a GPU

Real-time ray tracing of implicit surfaces on the GPU

FPGA vs. GPU for sparse matrix vector multiply

2D and 3D level-set algorithms on GPU

Task Scheduling of Parallel Processing in CPU-GPU Collaborative Environment

Language virtualization for heterogeneous parallel computing

Implementation of algorithms with a fine-grained parallelism on GPUs

Recent source codes

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

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

Most viewed papers (last 30 days)