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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

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

A Novel GPU-Based Deformation Pipeline

Muhammad Mobeen Movania, Lin Feng

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro FX 5800, OpenGL, Rendering

December 26, 2011 by hgpu

SHADOW3 API: The Application Programming Interface for the ray tracing code SHADOW

Niccolo Canestrari, Dimitris Karkoulis, Manuel Sanchez del Rio

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Tags: Code generation, Computer science, Fortran, nVidia, OpenCL, Python, Raytracing, Tesla M2050

December 26, 2011 by hgpu

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Qi Li

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Optimization, Sorting, Tesla C1060, Tesla C2050, Tesla C2070, Thesis

December 26, 2011 by hgpu

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Moritz Kreutzer, Georg Hager, Gerhard Wellein, Holger Fehske, Achim Basermann, Alan R. Bishop

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Tags: Computer science, GPU cluster, nVidia, Performance, Sparse matrix, Tesla C2050, Tesla C2070

December 26, 2011 by hgpu

Designing Fast Architecture Sensitive Tree Search on Modern Multi-Core/Many-Core Processors

Changkyu Kim, Jatin Chhugani, Nadathur Satish, Eric Sedlar, Anthony D. Nguyen, Tim Kaldewey, Victor W. Lee, Scott A. Brandt, Pradeep Dubey

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Tags: Compression, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 280, Search, Tesla C2050

December 25, 2011 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Multifrontal Factorization of Sparse SPD Matrices on GPUs

OpenCL in Action: How to Accelerate Graphics and Computations

A Novel GPU-Based Deformation Pipeline

SHADOW3 API: The Application Programming Interface for the ray tracing code SHADOW

Fast Parallel Machine Learning Algorithms for Large Datasets Using Graphic Processing Unit

Sparse matrix-vector multiplication on GPGPU clusters: A new storage format and a scalable implementation

Designing Fast Architecture Sensitive Tree Search on Modern Multi-Core/Many-Core Processors

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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