high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

SCGPSim: A fast SystemC simulator on GPUs

Mahesh Nanjundappa, Hiren D. Patel, Bijoy A. Jose, Sandeep K. Shukla

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Tags: Code generation, Computer science, CUDA, High-level Languages, nVidia, Tesla D870

July 8, 2011 by hgpu

Implementability of shading models for current game engines

B. Atabek, A. Kumar

Tags: 3D Graphics and Realism, Computer science, Games, Shaders

July 8, 2011 by hgpu

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

T. Nowotny

Tags: Biology, CUDA, Neural networks, nVidia, Tesla C870

July 8, 2011 by hgpu

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

Song Jun Park, James A. Ross, Dale R. Shires, David A. Richie, Brian J. Henz, Lam H. Nguyen

Tags: ATI, Brook, CUDA, Heterogeneous systems, nVidia, Signal processing

July 8, 2011 by hgpu

Visualizing Multiwavelength Astrophysical Data

Hongwei Li, Chi-Wing Fu, Andrew J. Hanson

Tags: Astrophysics, Physics, Visualization

July 8, 2011 by hgpu

Accelerated video encoding using render context information

Philipp Fechteler, Peter Eisert

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Tags: DirectX, H.264/AVC, Image processing, OpenGL, Rendering, Video encoding

July 8, 2011 by hgpu

High Performance Remote Sensing Image Processing Using CUDA

Xiaoshu Si, Hong Zheng

Tags: CUDA, Image processing, nVidia, Sensing

July 8, 2011 by hgpu

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

A.A. Kamal, A.M. Youssef

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security

July 7, 2011 by hgpu

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Doris Chen, Deshanand Singh

Tags: Algorithms, Computer science, FPGA

July 7, 2011 by hgpu

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Wenjing Ma, Sriram Krishnamoorthy, Oreste Villa, Karol Kowalski

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Tags: Computational chemistry, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, Presentation, Tesla C1070, Tesla S1070

July 7, 2011 by hgpu

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Brahim Betkaoui, David B. Thomas, Wayne Luk

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Tags: Computer science, CUDA, Energy-efficient computing, FPGA, nVidia, Performance, Tesla C1060

July 7, 2011 by hgpu

Optimization of a FDTD code for graphical processing units

P. Sypek, M. Mrozowski

Tags: Algorithms, Electrodynamics, FDTD, Finite-difference time-domain, Optimization

July 7, 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

SCGPSim: A fast SystemC simulator on GPUs

Implementability of shading models for current game engines

Parallel implementation of a spiking neuronal network model of unsupervised olfactory learning on NVidia CUDA

Hybrid Core Acceleration of UWB SIRE Radar Signal Processing

Visualizing Multiwavelength Astrophysical Data

Accelerated video encoding using render context information

High Performance Remote Sensing Image Processing Using CUDA

Enhanced implementation of the NTRUEncrypt algorithm using graphics cards

Parallelizing FPGA Technology Mapping Using Graphics Processing Units (GPUs)

Acceleration of Streamed Tensor Contraction Expressions on GPGPU-Based Clusters

Comparing performance and energy efficiency of FPGAs and GPUs for high productivity computing

Optimization of a FDTD code for graphical processing units

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

Most viewed papers (last 30 days)