17588
hgpu.org » Tianhe-2

Accelerating Electron Tomography Reconstruction Algorithm ICON Using the Intel Xeon Phi Coprocessor on Tianhe-2 Supercomputer

Zihao Wang, Yu Chen, Jingrong Zhang, Lun Li, Xiaohua Wan, Zhiyong Liu, Fei Sun, Fa Zhang
View View   Download Download (PDF)   

Tags: , , , ,

September 28, 2017 by holy

Recent source codes

Kernel Tuner: A search-optimizing GPU code auto-tuner

Kernel Tuner: A search-optimizing GPU code auto-tuner

Kernel Tuner: A search-optimizing GPU code auto-tuner
libxsmm: Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives

libxsmm: Library targeting Intel Architecture for specialized dense and sparse matrix operations, and deep learning primitives

Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures
CosmoFlow: Using Deep Learning to Learn the Universe at Scale

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

CosmoFlow: Using Deep Learning to Learn the Universe at Scale
cumf_als: CUDA Matrix Factorization Library with Alternating Least Square (ALS)

cumf_als: CUDA Matrix Factorization Library with Alternating Least Square (ALS)

Matrix Factorization on GPUs with Memory Optimization and Approximate Computing
libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms

libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms

libhclooc: Software Library Facilitating Out-of-core Implementations of Accelerator Kernels on Hybrid Computing Platforms
OCLADock - OpenCL Accelerated Molecular Docking

OCLADock - OpenCL Accelerated Molecular Docking

A Case Study in Using OpenCL on FPGAs: Creating an Open-Source Accelerator of the AutoDock Molecular Docking Software
sentiment-discovery: Unsupervised Language Modeling at scale for robust sentiment classification

sentiment-discovery: Unsupervised Language Modeling at scale for robust sentiment classification

Large Scale Language Modeling: Converging on 40GB of Text in Four Hours
Parallax: A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments

Parallax: A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments

Parallax: Automatic Data-Parallel Training of Deep Neural Networks
OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image processing and Reconstruction on heterogeneous Devices

OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image processing and Reconstruction on heterogeneous Devices

OpenCLIPER: an OpenCL-based C++ Framework for Overhead-Reduced Medical Image Processing and Reconstruction on Heterogeneous Devices
Spatial: Specify Parameterized Accelerators Through Inordinately Abstract Language

Spatial: Specify Parameterized Accelerators Through Inordinately Abstract Language

Spatial: A Language and Compiler for Application Accelerators
See all packages

* * *

* * *

HGPU group © 2010-2018 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: