high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications

A Fixed-Complexity Sphere Decoder for MIMO Systems on Graphics Processing Units

Wang Hongyuan, Chen Muyi

Tags: Computer science, MIMO

July 25, 2011 by hgpu

A Coarse Grain Reconfigurable Architecture for sequence alignment problems in bio-informatics

Pei Liu, A. Hemani

Tags: Algorithms, Bioinformatics, Biology, FPGA, Sequence alignment, Smith-Waterman algorithm

July 25, 2011 by hgpu

Real-time interactive object extraction system for high resolution remote sensing images based on parallel computing architecture

Yan Li, Manchun Li, Feixue Li, Xiaogu Sun, Wei Liu

Tags: CUDA, Earth and Space Sciences, Geoscience, Image processing, nVidia, nVidia GeForce 8800 GTX, Sensing

July 25, 2011 by hgpu

Modular Technology in the Modelling of Large Virtual Environments in Driving Simulators

Carlota Tovar, Gines Jesus Jimena, Jose Ma Cabanellas, Carlos Zoido

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

July 25, 2011 by hgpu

Gpu architecture for stationary multisensor pedestrian detection at smart intersections

Daniel Weimer, Sebastian Kohler, Christian Hellert, Konrad Doll, Ulrich Brunsmann, Roland Krzikalla

Tags: Benchmarking, Computer science, Computer vision, CUDA, nVidia

July 24, 2011 by hgpu

Central Force Optimization on a GPU: A case study in high performance metaheuristics using multiple topologies

Robert C. Green, Lingfeng Wang, Mansoor Alam, Richard A. Formato

Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, Optimization

July 24, 2011 by hgpu

GPGPU Acceleration Algorithm for Medical Image Reconstruction

Virasin Archirapatkave, Hendra Sumilo, Simon Chong Wee See, Tiranee Achalakul

Tags: Algorithms, Image reconstruction, Medicine, OpenGL, Visualization

July 24, 2011 by hgpu

Query-Driven Visualization of Time-Varying Adaptive Mesh Refinement Data

Luke J. Gosink, John C. Anderson, E. Wes Bethel, Kenneth I. Joy

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, Visualization

July 24, 2011 by hgpu

Out-of-core cone beam reconstruction using multiple GPUs

Fumihiko Ino, Yusuke Okitsu, Taketo Kishi, Syuhei Ohnishi, Kenichi Hagihara

View

Download (PDF)

Tags: Algorithms, CUDA, Image reconstruction, Medicine, nVidia, Tesla S1070

July 24, 2011 by hgpu

Real-Time Illustration of Vascular Structures

Felix Ritter, Christian Hansen, Volker Dicken, Olaf Konrad, Bernhard Preim, and Heinz-Otto Peitgen

View

Download (PDF)

Tags: Algorithms, Computer science, Medicine, nVidia, nVidia GeForce 7800 GTX, OpenGL, Rendering, Surgical simulation, Visualization

July 24, 2011 by hgpu

Fast and robust CAMShift tracking

David Exner, Erich Bruns, Daniel Kurz, Anselm Grundhofer, Oliver Bimber

View

Download (PDF)

Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 285, OpenGL

July 24, 2011 by hgpu

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

Ben Cope, Peter Y.K. Cheung, Wayne Luk

View

Download (PDF)

Tags: Algorithms, Cg, Computer science, FPGA, GLSL, nVidia, nVidia GeForce 7800 GTX, OpenGL, Performance

July 24, 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

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Applications

A Fixed-Complexity Sphere Decoder for MIMO Systems on Graphics Processing Units

A Coarse Grain Reconfigurable Architecture for sequence alignment problems in bio-informatics

Real-time interactive object extraction system for high resolution remote sensing images based on parallel computing architecture

Modular Technology in the Modelling of Large Virtual Environments in Driving Simulators

Gpu architecture for stationary multisensor pedestrian detection at smart intersections

Central Force Optimization on a GPU: A case study in high performance metaheuristics using multiple topologies

GPGPU Acceleration Algorithm for Medical Image Reconstruction

Query-Driven Visualization of Time-Varying Adaptive Mesh Refinement Data

Out-of-core cone beam reconstruction using multiple GPUs

Real-Time Illustration of Vascular Structures

Fast and robust CAMShift tracking

Bridging the Gap between FPGAs and Multi-Processor Architectures: A Video Processing Perspective

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)