high performance computing on graphics processing units: hgpu.org

Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha

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Tags: Bayesian, Computer science, CUDA, Deep learning, DSP, Neural networks, nVidia, nVidia GeForce GTX 1060

December 30, 2018 by hgpu

wav2letter++: The Fastest Open-source Speech Recognition System

Vineel Pratap, Awni Hannun, Qiantong Xu, Jeff Cai, Jacob Kahn, Gabriel Synnaeve, Vitaliy Liptchinsky, Ronan Collobert

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Tags: Computer science, CUDA, Deep learning, Neural networks, nVidia, Package, Speech recognition, Tesla V100

December 23, 2018 by hgpu

sycl-bench: SYCL Benchmark Suite

SYCL-Bench: A Versatile Single-Source Benchmark Suite for Heterogeneous Computing

BlaBla: A Python package for clinical linguistic feature extraction in multiple languages

BlaBla: Linguistic Feature Extraction for Clinical Analysis in Multiple Languages

gocudnn: Go Bindings for cudnn and other cuda pacakges

Deep Learning with GO

Task-Based Parallel Strategies for CFD Application in Heterogeneous CPU/GPU Resources

DALI: a library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

Importance of Data Loading Pipeline in Training Deep Neural Networks

AutoParBench: a benchmark framework to evaluate compilers and tools designed to automatically insert OpenMP directives

AutoParBench: A Unified Test Framework for OpenMP-based Parallelizers

DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy

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Munich, Germany

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Boston, USA

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Boston, MA, USA

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

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Larnaca, Cyprus

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high performance computing on graphics processing units: hgpu.org

HG-Caffe: Mobile and Embedded Neural Network GPU (OpenCL) Inference Engine with FP16 Supporting

HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing

Vector and Line Quantization for Billion-scale Similarity Search on GPUs

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

ADMM-NN: An Algorithm-Hardware Co-Design Framework of DNNs Using Alternating Direction Method of Multipliers

Towards Automatic Transformation of Legacy Scientific Code into OpenCL for Optimal Performance on FPGAs

A Survey on Optimized Implementation of Deep Learning Models on the NVIDIA Jetson Platform

Automatic Performance Optimization on Heterogeneous Computer Systems using Manycore Coprocessors

A Study on the Acceleration of Arrival Curve Construction and Regular Specification Mining using GPUs

Speeding-up the Verification Phase of Set Similarity Joins in the GPGPU paradigm

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

wav2letter++: The Fastest Open-source Speech Recognition System

Recent source codes

sycl-bench: SYCL Benchmark Suite

BlaBla: A Python package for clinical linguistic feature extraction in multiple languages

gocudnn: Go Bindings for cudnn and other cuda pacakges

Task-Based Parallel Strategies for CFD Application in Heterogeneous CPU/GPU Resources

DALI: a library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

AutoParBench: a benchmark framework to evaluate compilers and tools designed to automatically insert OpenMP directives

DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

cuda-kat: The CUDA Kernel Author's Toolkit

HPCC FPGA: A OpenCL-based FPGA benchmark suite for HPC

GEVO: GPU Code Optimization using Evolutionary Computation

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