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Towards Faster Cloth Simulation: Examining the Preconditioned Conjugate Gradient

Konstantinos Sideris

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Tags: 3D Graphics and Realism, Algorithms, Computer science, OpenCL, Pthreads

November 19, 2011 by hgpu

Creating HW/SW co-designed MPSoPC’s from high level programming models

Eugene Cartwright, Sen Ma, David Andrews, Miaoqing Huang

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Tags: Computer science, FPGA, Heterogeneous systems, OpenCL, Operating systems, Pthreads

November 12, 2011 by hgpu

Handbook of open source tools

Sandeep Koranne

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Tags: Book, Cluster computing, Computer science, CUDA, MPI, nVidia, OpenCL, Pthreads

February 26, 2011 by hgpu

Accelerating incompressible flow computations with a Pthreads-CUDA implementation on small-footprint multi-GPU platforms

Julien Thibault, Inanc Senocak

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Tags: CUDA, Fluid dynamics, Navier-Stokes equations, NSEs, nVidia, Pthreads

November 8, 2010 by hgpu

BUDDY MLIR

Compiler Technologies in Deep Learning Co-Design: A Survey

pocl: Portable Computing Language (IWOCL23 release)

Implementation Techniques for SPMD Kernels on CPUs

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

TorchBench: Benchmarking PyTorch with High API Surface Coverage

Descend: an attempt at safe imperative GPU programming

Descend: A Safe GPU Systems Programming Language

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high performance computing on graphics processing units: hgpu.org

Towards Faster Cloth Simulation: Examining the Preconditioned Conjugate Gradient

Creating HW/SW co-designed MPSoPC’s from high level programming models

Handbook of open source tools

Accelerating incompressible flow computations with a Pthreads-CUDA implementation on small-footprint multi-GPU platforms

Recent source codes

BUDDY MLIR

pocl: Portable Computing Language (IWOCL23 release)

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

AutoDock for GPUs and other accelerators

spotPython: Sequential Parameter Optimization in Python

Test benchmarks for CELERITY

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

Descend: an attempt at safe imperative GPU programming

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