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accULL: An User-directed Approach to Heterogeneous Programming

Ruyman Reyes, Ivan Lopez, Juan J. Fumero, Francisco de Sande

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, OpenCL, Package, Python, Tesla C1060, Tesla C2050

July 31, 2012 by hgpu

Parallel programming on GPU using Intel Array Building Blocks

Chatura A. Ettigi

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 260 M, Programming techniques, Thesis

July 31, 2012 by hgpu

On Binaural Spatialization and the Use of GPGPU for Audio Processing

Davide Andrea Mauro

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Tags: Acoustics, CUDA, DSP, FFT, nVidia, nVidia GeForce 9400 M GS, OpenCL, Signal processing, Thesis

July 31, 2012 by hgpu

Application of the Mean Field Methods to MRF Optimization in Computer Vision

Masaki Saito, Takayuki Okatani, Koichiro Deguchi

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Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 480, OpenMP

July 31, 2012 by hgpu

MCMini: Monte Carlo on GPGPU

Ryan Marcus

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Tags: ATI, ATI Radeon HD 5870, Monte Carlo simulation, nVidia, OpenCL, Physics, Tesla C2070

July 31, 2012 by hgpu

High-Performance Online Spatial and Temporal Aggregations on Multi-core CPUs and Many-Core GPUs

Jianting Zhang, Simin You, Le Gruenwald

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Tags: Computer science, CUDA, Databases, nVidia, nVidia Quadro FX 6000

July 29, 2012 by hgpu

Sigma*: Symbolic Learning of Stream Filters

Matko Botincan, Domagoj Babic

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Tags: Code generation, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

July 29, 2012 by hgpu

A Novel GPU Implementation of Eigen Analysis for Risk Management

Mustafa U. Torun, Ali N. Akansu

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Tags: CUDA, Filtering, Finance, nVidia, Risk Management, Tesla C2070

July 29, 2012 by hgpu

Implementation and Evaluation of Recurrence Equation Solvers on GPGPU systems using Rearrangement of Array Configurations

Akiyoshi Wakatani

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Tags: Algorithms, Computer science, CUDA, nVidia, PC cluster, Tesla C1060

July 29, 2012 by hgpu

Distributed-Shared CUDA: Virtualization of Large-Scale GPU Systems for Programmability and Reliability

Atsushi Kawai, Kenji Yasuoka, Kazuyuki Yoshikawa, Tetsu Narumi

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Tesla M2050, Virtualization

July 29, 2012 by hgpu

Fast Linear Algebra on GPU

Lukas Polok, Pavel Smrz

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Tags: Computer science, CUBLAS, Linear Algebra, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 590, OpenCL

July 28, 2012 by hgpu

Ensemble K-Means on Modern Many Core Hardware

Girish Ravunnikutty

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Tags: Bioinformatics, Clustering, Computer science, Data mining, Machine learning, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Pattern recognition, Thesis

July 28, 2012 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

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high performance computing on graphics processing units: hgpu.org

Applications

accULL: An User-directed Approach to Heterogeneous Programming

Parallel programming on GPU using Intel Array Building Blocks

On Binaural Spatialization and the Use of GPGPU for Audio Processing

Application of the Mean Field Methods to MRF Optimization in Computer Vision

MCMini: Monte Carlo on GPGPU

High-Performance Online Spatial and Temporal Aggregations on Multi-core CPUs and Many-Core GPUs

Sigma*: Symbolic Learning of Stream Filters

A Novel GPU Implementation of Eigen Analysis for Risk Management

Implementation and Evaluation of Recurrence Equation Solvers on GPGPU systems using Rearrangement of Array Configurations

Distributed-Shared CUDA: Virtualization of Large-Scale GPU Systems for Programmability and Reliability

Fast Linear Algebra on GPU

Ensemble K-Means on Modern Many Core Hardware

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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