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C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

Kate Gregory, Ade Miller

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Tags: Book, C++ AMP, Programming Languages

December 13, 2014 by AlexVlx

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Ahmad Lashgar, Alireza Majidi, Amirali Baniasadi

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Tags: Computer science, CUDA, nVidia, OpenACC, OpenCL, Programming Languages, Tesla K20

December 5, 2014 by hgpu

Enhancing R with Advanced Compilation Tools and Methods

Duncan Temple Lang

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Tags: Computer science, CUDA, Mathematical Software, nVidia, Programming Languages

September 11, 2014 by hgpu

ADHA: Automatic Data layout framework for Heterogeneous Architectures

Deepak Majeti, Kuldeep S. Meel, Rajkishore Barik, Vivek Sarkar

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Tags: Benchmarking, Compilers, Computer science, Heterogeneous systems, nVidia, OpenCL, Programming Languages, Tesla M2050

July 24, 2014 by hgpu

Loo.py: transformation-based code generation for GPUs and CPUs

Andreas Klockner

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Tags: ATI, ATI Radeon HD 7990, Code generation, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GTX Titan, OpenCL, Package, Programming Languages, PyOpenCL, Python

June 2, 2014 by hgpu

Augur: a Modeling Language for Data-Parallel Probabilistic Inference

Jean-Baptiste Tristan, Daniel Huang, Joseph Tassarotti, Adam Pocock, Stephen J. Green, Guy L. Steele Jr

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Tags: Bayesian, CUDA, Machine learning, Mathematics, nVidia, nVidia GeForce GTX Titan, Programming Languages, Statistics

December 13, 2013 by hgpu

Exploring GPGPU Acceleration of Process-Oriented Simulations

Frederick R.M. Barnes, Thomas Pressnell, Brendan Le Foll

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Package, Programming Languages

November 26, 2013 by hgpu

A Methodology for Translating C-Programs to OpenCL

Krishnahari Thouti, S. R. Sathe

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Tags: Code generation, Compilers, Computer science, nVidia, nVidia Quadro FX 3800, OpenCL, Programming Languages

November 16, 2013 by hgpu

The GASPI API specification and its implementation GPI 2.0

D. Grünewald, C. Simmendinger

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Tags: Computer science, Intel Xeon Phi, MPI, Package, Programming Languages

October 9, 2013 by hgpu

UPC on MIC: Early Experiences with Native and Symmetric Modes

M.Luo ,M. Li, A. Venkatesh, X. Lu, D. K. Panda

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Tags: Computer science, Intel Phi, Intel Xeon Phi, Programming Languages

October 9, 2013 by hgpu

Detecting Data Races on OpenCL Kernels with Symbolic Execution

Dino Distefano, Jeremy Dubreil

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Tags: Computer science, OpenCL, Programming Languages

August 15, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 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

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high performance computing on graphics processing units: hgpu.org

C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++

IPMACC: Open Source OpenACC to CUDA/OpenCL Translator

Enhancing R with Advanced Compilation Tools and Methods

ADHA: Automatic Data layout framework for Heterogeneous Architectures

Loo.py: transformation-based code generation for GPUs and CPUs

Augur: a Modeling Language for Data-Parallel Probabilistic Inference

Exploring GPGPU Acceleration of Process-Oriented Simulations

A Methodology for Translating C-Programs to OpenCL

The GASPI API specification and its implementation GPI 2.0

UPC on MIC: Early Experiences with Native and Symmetric Modes

Detecting Data Races on OpenCL Kernels with Symbolic Execution

Parallel Language Programming In Different Platforms

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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