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MIDeA: a multi-parallel intrusion detection architecture

Giorgos Vasiliadis, Michalis Polychronakis, Sotiris Ioannidis

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Pattern Search, Security

December 27, 2011 by hgpu

GPU Pro 2

Wolfgang Engel (editor)

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Tags: 3D Graphics and Realism, Book, Computer science, DirectX, OpenGL, Package, Rendering, Tutorial

December 27, 2011 by hgpu

OpenCL Programming Guide

Aaftab Munshi, Benedict Gaster, Timothy G. Mattson, James Fung, Dan Ginsburg

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Tags: Algorithms, Book, Computer science, OpenCL, Tutorial

December 27, 2011 by hgpu

GPU-accelerated Chemical Similarity Assessment for Large Scale Databases

Marco Maggioni, Marco Domenico Santambrogio, Jie Liang

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Tags: Algorithms, Chemistry, CUDA, Databases, nVidia, nVidia GeForce 9400 M, nVidia GeForce GTX 460, Optimization

December 27, 2011 by hgpu

Parallel Algorithms for GPU accelerated Probabilistic Inference

Nico Piatkowski

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Tags: Algorithms, Artificial intelligence, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Package, Tesla C2050

December 27, 2011 by hgpu

Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Mikolaj Mackowiak, Krzysztof Kurowski, Aleksandr Igumenov

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Hybrid computing, MPI, nVidia, Optimization, Package

December 27, 2011 by hgpu

Simple Geometry Compression for Ray Tracing on GPU

Kirill Garanzha, Alexander Bely, Vladimir Galaktionov

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Tags: Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Raytracing

December 26, 2011 by hgpu

Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization

Lu Zheng, Ole J. Mengshoel, Jike Chong

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Tags: Algorithms, Bayesian, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 460

December 26, 2011 by hgpu

SSLShader: Cheap SSL Acceleration with Commodity Processors

Keon Jang, Sangjin Han, Seungyeop Han, Sue Moon, KyoungSoo Park

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Tags: AES, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Security

December 26, 2011 by hgpu

Accurate Sequence Alignment using Distributed Filtering on GPU Clusters

Reza Farivar, Shivaram Venkataraman, Yanen Li, Ellick Chan, Abhishek Verma, Roy H. Campbell

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Tags: Bioinformatics, Biology, CUDA, Filtering, GPU cluster, nVidia, Sequence alignment, Tesla S1070

December 26, 2011 by hgpu

Multifrontal Factorization of Sparse SPD Matrices on GPUs

Thomas George, Vaibhav Saxena, Anshul Gupta, Amik Singh, Anamitra R. Choudhury

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Tags: Computer science, CUDA, Factorization, nVidia, Sparse matrix, Tesla S1070

December 26, 2011 by hgpu

OpenCL in Action: How to Accelerate Graphics and Computations

Matthew Scarpino

Tags: Book, Computer science, OpenCL, Programming techniques, Tutorial

December 26, 2011 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

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high performance computing on graphics processing units: hgpu.org

Applications

MIDeA: a multi-parallel intrusion detection architecture

GPU Pro 2

OpenCL Programming Guide

GPU-accelerated Chemical Similarity Assessment for Large Scale Databases

Parallel Algorithms for GPU accelerated Probabilistic Inference

Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Simple Geometry Compression for Ray Tracing on GPU

Belief Propagation by Message Passing in Junction Trees: Computing Each Message Faster Using GPU Parallelization

SSLShader: Cheap SSL Acceleration with Commodity Processors

Accurate Sequence Alignment using Distributed Filtering on GPU Clusters

Multifrontal Factorization of Sparse SPD Matrices on GPUs

OpenCL in Action: How to Accelerate Graphics and Computations

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

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