high performance computing on graphics processing units: hgpu.org

Yifan Sun, Trinayan Baruah, Saiful A. Mojumder, Shi Dong, Xiang Gong, Shane Treadway, Yuhui Bao, Spencer Hance, Carter McCardwell, Vincent Zhao, Harrison Barclay, Amir Kavyan Ziabari, Zhongliang Chen, Rafael Ubal, Jose L. Abellan, John Kim, Ajay Joshi

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Tags: AMD R9 Nano, ATI, Computer science, Hardware Architecture, OpenCL, Package, Performance

June 23, 2019 by hgpu

Performance Evaluation and Analysis of Sparse Matrix and Graph Kernels on Heterogeneous Processors

Feng Zhang, Weifeng Liu, Ningxuan Feng, Jidong Zhai, Xiaoyong Du

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Tags: ATI, Computer science, Heterogeneous systems, OpenCL, Sparse matrix

June 16, 2019 by hgpu

MNN: a lightweight deep neural network inference engine

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices

SolidTextureNets

On Demand Solid Texture Synthesis Using Deep 3D Networks

md_poly: A Performance-Portable Polyhedral Compiler Based on Multi-Dimensional Homomorphisms

deepnetts: Deep Netts Pure Java Deep Learning Engine

Towards High Performance Java-based Deep Learning Frameworks

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs

TACO: The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

A Unified Iteration Space Transformation Framework for Sparse and Dense Tensor Algebra

OpenCL-FPGA-LLVM: LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

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8th International Workshop on OpenCL, including SYCLCon, 2019

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13-15

Boston, USA

7th International Workshop on OpenCL, 2019

2019

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Boston, MA, USA

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

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May

Larnaca, Cyprus

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

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26-28

Rome, Italy

International Conference on Frontiers of Neural Networks (ICFNN), 2019

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high performance computing on graphics processing units: hgpu.org

Automatically Harnessing Sparse Acceleration

Automatic Performance Optimisation of Parallel Programs for GPUs via Rewrite Rules

Accelerating Molecular Docking by Parallelized Heterogeneous Computing – A Case Study of Performance, Quality of Results, and Energy-Efficiency using CPUs, GPUs, and FPGAs

Performance Evaluation of Blocking and NonBlocking Concurrent Queues on GPUs

Performance and Power Evaluation of AI Accelerators for Training Deep Learning Models

SODECL: An Open Source Library for Calculating Multiple Orbits of a System of Stochastic Differential Equations in Parallel

Parallelization of Coherent Point Drift for patient registration

On the Portability of CPU-Accelerated Applications via Automated Source-to-Source Translation

GPU-based Parallel Computation Support for Stan

GPU Volume Voxelization: Exploration of the performance characteristics of different GPU-based implementations

MGPUSim: Enabling Multi-GPU Performance Modeling and Optimization

Performance Evaluation and Analysis of Sparse Matrix and Graph Kernels on Heterogeneous Processors

Recent source codes

MNN: a lightweight deep neural network inference engine

SolidTextureNets

md_poly: A Performance-Portable Polyhedral Compiler Based on Multi-Dimensional Homomorphisms

deepnetts: Deep Netts Pure Java Deep Learning Engine

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

TACO: The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

OpenCL-FPGA-LLVM: LLVM-based automation of memory decoupling for OpenCL applications on FPGAs

CUDAnative.jl: Julia support for native CUDA programming

GPU explicit-state model checking

OCLADock: OpenCL Accelerated Molecular Docking

Most viewed papers (last 30 days)

Featured events

8th International Workshop on OpenCL, including SYCLCon, 2019

7th International Workshop on OpenCL, 2019

Distributed Heterogeneous Programming in C/C++ (DHPCC++), 2019

3rd International Workshop on Theoretical Approaches to Performance Evaluation, Modeling and Simulation (TAPEMS), 2019

International Conference on Frontiers of Neural Networks (ICFNN), 2019