high performance computing on graphics processing units: hgpu.org

hgpu.org » Data parallelism

Zero-copy I/O processing for low-latency GPU computing

Shinpei Kato, Jason Aumiller, Scott Brandt

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Tags: Algorithms, Benchmarking, CUDA, Data parallelism, nVidia, Plasma physics

April 16, 2013 by hgpu

Convergence and Scalarization for Data-Parallel Architectures

Yunsup Lee, Ronny Krashinsky, Vinod Grover, Stephen W. Keckler, Krste Asanovic

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Tags: Algorithms, Code generation, Compilers, Computer science, CUDA, Data parallelism, nVidia, Performance

March 15, 2013 by hgpu

Multi-GPU based on multicriteria optimization for motion estimation system

Carlos Garcia, Guillermo Botella, Fermin Ayuso, Manuel Prieto, Francisco Tirado

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Tags: Algorithms, Computer vision, CUDA, Data parallelism, nVidia, Optical flow, Signal processing, Tesla C1060, Tesla M2070

February 27, 2013 by hgpu

GPU-based Motion Planning under Uncertainties using POMDP

Taekhee Lee, Young J. Kim

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Tags: Algorithms, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 680

February 22, 2013 by hgpu

Data parallel patterns on CPU/GPU mix

T. Serban, M. Danelutto, M. Coppola

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GT 540, nVidia GeForce GTX 285, Tesla C2050

January 22, 2013 by hgpu

HiDP: A Hierarchical Data Parallel Language

Yongpeng Zhang, Frank Mueller

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Tags: Algorithms, Computer science, CUDA, Data parallelism, High-level Languages, nVidia, nVidia GeForce GTX 480

January 13, 2013 by hgpu

Video coding on multicore graphics processors (GPUs)

Bruno Alexandre de Medeiros

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Tags: Compression, CUDA, Data parallelism, H.264/AVC, Image processing, nVidia, nVidia GeForce GTX 580, Thesis, Video encoding

January 11, 2013 by hgpu

Data Compression using CUDA programming in GPU

Ganapathy Mani

Tags: Algorithms, Compression, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce 8800 GTS

December 8, 2012 by hgpu

Fast Parallel Sorting Algorithms on GPUs

Bilal Jan, Bartolomeo Montrucchio, Carlo Ragusa, Fiaz Gul Khan, Omar Khan

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Tags: Algorithms, Computer science, Data parallelism, nVidia, nVidia GeForce GT 320 M, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting

December 4, 2012 by hgpu

A parallel method for tuning Fuzzy TSK Systems with CUDA

Bruno B. Ferreira, Adriano J. O. Cruz

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Tags: Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 550 Ti, nVidia GeForce GTX 590, Tesla C2070

November 11, 2012 by hgpu

Beam Dynamics Simulations Using GPUs

J. Fitzek, S. Appel, O. Boine-Frankenheim

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Tags: CUDA, Data parallelism, MPI, nVidia, Physics, Tesla C2075

October 30, 2012 by hgpu

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

Dounia Khaldi, Pierre Jouvelot, Corinne Ancourt, Francois Irigoin

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Tags: Computer science, Data parallelism, Memory model, OpenCL, OpenMP, Overview

October 23, 2012 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

Zero-copy I/O processing for low-latency GPU computing

Convergence and Scalarization for Data-Parallel Architectures

Multi-GPU based on multicriteria optimization for motion estimation system

GPU-based Motion Planning under Uncertainties using POMDP

Data parallel patterns on CPU/GPU mix

HiDP: A Hierarchical Data Parallel Language

Video coding on multicore graphics processors (GPUs)

Data Compression using CUDA programming in GPU

Fast Parallel Sorting Algorithms on GPUs

A parallel method for tuning Fuzzy TSK Systems with CUDA

Beam Dynamics Simulations Using GPUs

Task Parallelism and Data Distribution: An Overview of Explicit Parallel Programming Languages

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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