high performance computing on graphics processing units: hgpu.org

hgpu.org » Computer science

Real-time 3D registration using GPU

Soon-Yong Park, Sung-In Choi, Jun Kim, Jeong Chae

View

Download (PDF)

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 260

November 7, 2010 by hgpu

A GPU implementation for LBG and SOM training

Yi Xiao, Chi Leung, Tze-Yui Ho, Ping-Man Lam

Tags: Computer science, Neural Computing, Self-organizing map, Vector quantization

November 6, 2010 by hgpu

Exploring the multiple-GPU design space

Dana Schaa, David Kaeli

View

Download (PDF)

Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GTX

November 6, 2010 by hgpu

A Practical Quicksort Algorithm for Graphics Processors

Daniel Cederman, Philippas Tsigas

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 8800 GTX, Sorting

November 6, 2010 by hgpu

StoreGPU: exploiting graphics processing units to accelerate distributed storage systems

Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santos-Neto, George Yuan, Matei Ripeanu

View

Download (PDF)

Source codes

Tags: Computer science, CUDA, Hashing, nVidia, nVidia GeForce 8600 GTS, nVidia GeForce 9800 GTX, Package, Storage system

November 6, 2010 by hgpu

Programming model for a heterogeneous x86 platform

Bratin Saha, Xiaocheng Zhou, Hu Chen, Ying Gao, Shoumeng Yan, Mohan Rajagopalan, Jesse Fang, Peinan Zhang, Ronny Ronen, Avi Mendelson

Tags: Computer science, Distributed data structures, Programming techniques

November 6, 2010 by hgpu

Maintaining constant frame rates in 3D texture-based volume rendering

D. Weiskopf, M. Weiler, T. Ertl

View

Download (PDF)

Tags: 3D Graphics and Realism, ATI, ATI Radeon 9800 Pro, Computer science, nVidia, nVidia GeForce FX 5950 Ultra, OpenGL, Raytracing, Rendering

November 6, 2010 by hgpu

Fast scale invariant feature detection and matching on programmable graphics hardware

Nico Cornelis, Luc Van Gool

View

Download (PDF)

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

November 6, 2010 by hgpu

Efficient simulation of large-scale spiking neural networks using CUDA graphics processors

Jayram M. Nageswaran, Nikil Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alex Veidenbaum

View

Download (PDF)

Tags: Biology, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 280, STDP

November 6, 2010 by hgpu

Parallel view-dependent refinement of progressive meshes

Liang Hu, Pedro V. Sander, Hugues Hoppe

View

Download (PDF)

Tags: Computer science, HLSL, nVidia, nVidia GeForce 8800 GTX, Triangular meshes, Visualization

November 6, 2010 by hgpu

PacketShader: a GPU-accelerated software router

Sangjin Han, Keon Jang, KyoungSoo Park, Sue Moon

View

Download (PDF)

Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Software router

November 6, 2010 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Real-time 3D registration using GPU

A GPU implementation for LBG and SOM training

Exploring the multiple-GPU design space

A Practical Quicksort Algorithm for Graphics Processors

StoreGPU: exploiting graphics processing units to accelerate distributed storage systems

Programming model for a heterogeneous x86 platform

Maintaining constant frame rates in 3D texture-based volume rendering

Fast scale invariant feature detection and matching on programmable graphics hardware

Efficient simulation of large-scale spiking neural networks using CUDA graphics processors

Parallel view-dependent refinement of progressive meshes

PacketShader: a GPU-accelerated software router

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

Most viewed papers (last 30 days)