high performance computing on graphics processing units: hgpu.org

Won-Ki Jeong, Jens Schneider, Stephen G. Turney, Beverly E. Faulkner-Jones, Dominik Meyer, Rudiger Westermann, R. Clay Reid, Jeff Lichtman, Hanspeter Pfister

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Tags: Image processing, Medicine, nVidia, nVidia GeForce GTX 285, OpenGL, Texture detection, Visualization

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

Daniel Hefenbrock, Jason Oberg, Nhat Tan Nguyen Thanh, Ryan Kastner, Scott B. Baden

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Tags: Computer science, Computer vision, CUDA, FPGA, GPU cluster, Image recognition, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 295

June 15, 2011 by hgpu

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Jeroen Bedorf, Evghenii Gaburov, Simon Portegies Zwart

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Source codes

Tags: Astrophysics, CUDA, Gravitation, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce GTX 285, nVidia GeForce GTX 480, Package, Tesla C1060, Tesla C2050

June 14, 2011 by hgpu

Real-time view synthesis system with multi-texture structure of GPU

Ji-Youn Choi, Sae-Woon Ryu, Hong-Chang Shin, Jong-Il Park

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 285, OpenGL

May 28, 2011 by hgpu

A new representation of intensity atlas for GPU-accelerated instance generation

Ren Hui Gong, J. Stewart, P. Abolmaesumi

Tags: Computed tomography, CT, Image processing, Medicine, nVidia, nVidia GeForce GTX 285

May 24, 2011 by hgpu

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

LLOR: Automatic Repair of OpenMP Programs

LLOR: Automated Repair of OpenMP Programs

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high performance computing on graphics processing units: hgpu.org

Boosting sphere decoding speed through Graphic Processing Units

H- and C-level WFST-based large vocabulary continuous speech recognition on Graphics Processing Units

Towards a robust, real-time face processing system using CUDA-enabled GPUs

Accelerating Lossless Data Compression with GPUs

Real-Time 2-D Temperature Imaging Using Ultrasound

Acceleration of PET Monte Carlo simulation using the graphics hardware ray-tracing engine

Interactive Histology of Large-Scale Biomedical Image Stacks

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Accelerating Viola-Jones Face Detection to FPGA-Level Using GPUs

A sparse octree gravitational N-body code that runs entirely on the GPU processor

Real-time view synthesis system with multi-texture structure of GPU

A new representation of intensity atlas for GPU-accelerated instance generation

Recent source codes

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

LLOR: Automatic Repair of OpenMP Programs

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