high performance computing on graphics processing units: hgpu.org

Zachary DeVito, Michael Mara, Michael Zollhofer, Gilbert Bernstein, Jonathan Ragan-Kelley, Christian Theobalt, Pat Hanrahan, Matthew Fisher, Matthias Niessner

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Tags: Comnputer science, Computer vision, CUDA, Image generation, Image processing, nVidia, Programming Languages

April 26, 2016 by hgpu

High-level GPU programming in Julia

Tim Besard, Pieter Verstraete, Bjorn De Sutter

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Tags: Code generation, Compilers, Computer science, CUDA, LLVM, nVidia, nVidia GeForce GTX Titan, Programming Languages

April 14, 2016 by hgpu

Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code

Guillermo Vigueras, Manuel Carro, Salvador Tamarit, Julio Marino

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Tags: Computer science, Heterogeneous systems, Machine learning, OpenCL, Programming Languages

March 15, 2016 by hgpu

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Faial: finds bugs in CUDA kernels

Sound and Partially-Complete Static Analysis of Data-Races in GPU Programs

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

Intel® SHMEM: Device initiated shared memory based communication library

Intel(R) SHMEM: GPU-initiated OpenSHMEM using SYCL

miniLB: Lattice Botlzmann miniapp w/SYCL

miniLB: A Performance Portability Study of Lattice-Boltzmann Simulations

AFOCL

Bitstream Database-Driven FPGA Programming Flow Based on Standard OpenCL

2domination

HPC acceleration of large (min, +) matrix products to compute domination-type parameters in graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Implementing implicit OpenMP data sharing on GPUs

2D Image Convolution using Three Parallel Programming Models on the Xeon Phi

Cooperative Kernels: GPU Multitasking for Blocking Algorithms

DeepDSL: A Compilation-based Domain-Specific Language for Deep Learning

TREES: A CPU/GPU Task-Parallel Runtime with Explicit Epoch Synchronization

Lowering IrGL to CUDA

ImageCL: An Image Processing Language for Performance Portability on Heterogeneous Systems

Array Program Transformation with Loo.py by Example: High-Order Finite Elements

Automatic Parallelization: Executing Sequential Programs on a Task-Based Parallel Runtime

Opt: A Domain Specific Language for Non-linear Least Squares Optimization in Graphics and Imaging

High-level GPU programming in Julia

Towards Automatic Learning of Heuristics for Mechanical Transformations of Procedural Code

Recent source codes

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

EnergyUCB-Bandit

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

Faial: finds bugs in CUDA kernels

Effects of OpenCL-Based Parallelization Methods on Explicit Numerical Methods to Solve the Heat Equation

Intel® SHMEM: Device initiated shared memory based communication library

miniLB: Lattice Botlzmann miniapp w/SYCL

AFOCL

2domination

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