high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Leszek Slazynski, Sander Bohte

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Neural networks, nVidia, nVidia GeForce GTX 470, OpenCL

October 9, 2012 by hgpu

Learning hash codes for efficient content reuse detection

Qi Zhang, Yan Wu, Zhuoye Ding, Xuanjing Huang

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Tags: Algorithms, Computer science, CUDA, Hashing, Information Retrieval, nVidia, nVidia Quadro FX 4000, Security

October 8, 2012 by hgpu

GPU Accelerated NIDS Search

Kristian Nordhaug

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Security, Thesis

October 8, 2012 by hgpu

GPGPU accelerated optimization method of Interconnection Network Topology

Vladimir Siladi, Ladislav Huraj, Michal Povinsky

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Tags: Computer science, CUDA, Graph theory, nVidia, nVidia GeForce 9800 GT, Optimization

October 6, 2012 by hgpu

Architectural explorations for streaming accelerators with customized memory layouts

Muhammad Shafiq

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, Tesla C2050, Thesis

October 6, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 2012 by hgpu

Using Commodity Coprocessors for Host Intrusion Detection

Mark M. Seeger

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Tags: Algorithms, Computer science, CUDA, Data acquisition, nVidia, Security, Thesis

October 5, 2012 by hgpu

Is the game worth the candle? Evaluation of OpenCL for object detection algorithm optimization

Floris De Smedt, Lars Stuyf, Sander Beckers, Joost Vennekens, Gorik De Samblanx, Toon Goedeme

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Tags: Algorithm optimization, Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 295, OpenCL

October 5, 2012 by hgpu

Redefining the Role of the CPU in the Era of CPU-GPU Integration

Manish Arora, Siddhartha Nath, Subhra Mazumdar, Scott Baden, Dean Tullsen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 280

October 4, 2012 by hgpu

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

Michal Marks, Jaroslaw Jantura, Ewa Niewiadomska-Szynkiewicz, Przemyslaw Strzelczyk, Krzysztof Gozdz

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Tags: Algorithms, AMD FirePro V7900, AMD FireStream 9350, ATI, ATI FirePro V5800, ATI FirePro V7800, Computer science, Distributed computing, GPU cluster, Heterogeneous systems, nVidia, OpenCL, Security, Tesla M2050

October 4, 2012 by hgpu

Computing resultants on Graphics Processing Units: Towards GPU-accelerated computer algebra

Pavel Emeliyanenko

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Tags: Algorithms, Computer science, CUDA, Modular arithmetic, nVidia, nVidia GeForce GTX 580, Symbolic Computation

October 4, 2012 by hgpu

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

Dmitry Mikushin, Nicolas Likhogrud

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Source codes

Tags: Computer science, CUDA, nVidia, OpenCL, Package, Portability, Tesla C2050

October 3, 2012 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

Streaming Parallel GPU Acceleration of Large-Scale filter-based Spiking Neural Networks

Learning hash codes for efficient content reuse detection

GPU Accelerated NIDS Search

GPGPU accelerated optimization method of Interconnection Network Topology

Architectural explorations for streaming accelerators with customized memory layouts

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Using Commodity Coprocessors for Host Intrusion Detection

Is the game worth the candle? Evaluation of OpenCL for object detection algorithm optimization

Redefining the Role of the CPU in the Era of CPU-GPU Integration

Heterogeneous GPU&CPU cluster for High Performance Computing in cryptography

Computing resultants on Graphics Processing Units: Towards GPU-accelerated computer algebra

KERNELGEN – A Toolchain for Automatic GPU-centric Applications Porting

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

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