high performance computing on graphics processing units: hgpu.org

Moritz Kreutzer, Jonas Thies, Melven Rohrig-Zollner, Andreas Pieper, Faisal Shahzad, Martin Galgon, Achim Basermann, Holger Fehske, Georg Hager, Gerhard Wellein

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Tags: Computer science, CUDA, Heterogeneous systems, Intel Xeon Phi, Linear Algebra, MPI, nVidia, OpenMP, Package, Sparse matrix, Tesla K20

July 30, 2015 by hgpu

Prospects of GPGPU in the Auger Offline Software Framework

Tobias Winchen, Marvin Gottowik, Julian Rautenberg

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce GTX 750 Ti, Tesla M2090

July 29, 2015 by hgpu

Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature

Masato Mimura, Shinsuke Sakai, Tatsuya Kawahara

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

July 29, 2015 by hgpu

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

Xavier Saez, Alejandro Soba, Edilberto Sanchez, Mervi Mantsinen, Jose M. Cela

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Tags: Algorithms, ARM, Heterogeneous systems, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla M2090

July 29, 2015 by hgpu

Sound Synthesis Using Physical Modeling on Heterogeneous Computing Platforms

M. Pluta, B. Borkowski, I. Czajka, K. Suder-Debska

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Tags: Acoustics, Algorithms, Computer science, Finite difference, Heterogeneous systems, nVidia, nVidia GeForce GT 750 M, OpenCL

July 29, 2015 by hgpu

OKL: A Unified Language for Parallel Architectures

David Medina

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Tags: ATI, ATI Radeon HD 7990, Computer science, CUDA, High-level Languages, nVidia, OpenCL, Tesla K40, Thesis

July 29, 2015 by hgpu

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Luna Backes, Alejandro Rico, Bjorn Franke

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Tags: ARM, Computer science, Computer vision, Embedded high-performance computing, OpenCL

July 28, 2015 by hgpu

Optimization of a finite element code implemented in MATLAB: On the use of GPUs for High Performance Computing

D. Jose Manuel Navarro Jimenez

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Tags: Computer science, Finite element method, Matlab, OpenCL, Thesis

July 28, 2015 by hgpu

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

Enhancing Deployment-Time Predictive Model Robustness for Code Analysis and Optimization

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

Scalable Access-Pattern Aware I/O Acceleration and Multi-Tiered Data Management for HPC and AI Workloads

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

Analyzing the Performance Portability of SYCL across CPUs, GPUs, and Hybrid Systems with Protein Database Search

tdg-benchs: benchmarks used to test the performance of taskgraph

Leveraging the potential of task-based programming with OpenMP task graphs

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

A Data-oriented Method for Scheduling Dependent Tasks on High-density Multi-GPU Systems

Parallel Surface Reconstruction on GPU

A University-Industry Collaboration Case Study: Intel Real-Time Multi-View Face Detection Capstone Design Projects

Investigating SRAM PUFs in large CPUs and GPUs

GHOST: Building blocks for high performance sparse linear algebra on heterogeneous systems

Prospects of GPGPU in the Auger Offline Software Framework

Reverberant speech recognition combining deep neural networks and deep autoencoders augmented with a phone-class feature

Performance Analysis of a Particle-in-Cell Plasma Physics Code on Homogeneous and Heterogeneous HPC Systems

Sound Synthesis Using Physical Modeling on Heterogeneous Computing Platforms

OKL: A Unified Language for Parallel Architectures

Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms

Optimization of a finite element code implemented in MATLAB: On the use of GPUs for High Performance Computing

Recent source codes

PROM: an open-source software framework to enhance the robustness and performance of predictive models against such changes during deployment

DeepSpeed: a deep learning optimization library that makes distributed training and inference easy, efficient, and effective

HPX: a C++ Standard Library for Concurrency and Parallelism

TorchQC: Quantum Dynamics and Machine Learning

Matrix multiplication using Tensor Cores in CUDA

CPP Joules: Energy Measurement tool for CPP/CUDA programs

HPC-Coder-v2

Reproducible Study and Performance Analysis of GPU Programming Paradigms: OpenACC vs. CUDA in Key Linear Algebra Computations

SW#SYCL

tdg-benchs: benchmarks used to test the performance of taskgraph

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