high performance computing on graphics processing units: hgpu.org

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Exploration of cyber-physical systems for GPGPU computer vision-based detection of biological viruses

Pascal Libuschewski

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Tags: Biology, Computer vision, Design space exploration, Microscopy, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 560 Ti, nVidia Quadro NVS 3100 M, OpenCL, Thesis, Visualization

April 20, 2017 by hgpu

Efficient Kernel Synthesis for Performance Portable Programming

Li-Wen Chang, Izzat El Hajj, Christopher Rodrigues, Juan Gomez-Luna, Wen-mei Hwu

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Tags: Code generation, Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, performance portability, Tesla C2050, Tesla K20

November 25, 2016 by hgpu

Many-Core Architectures: Hardware-Software Optimization and Modeling Techniques

Christian Pinto

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 480, Thesis, Virtualization

July 17, 2015 by hgpu

Flexible Software Profiling of GPU Architectures

Mark Stephenson, Siva Kumar Sastry Hari, Yunsup Lee, Eiman Ebrahimi, Daniel R. Johnson, David Nellans, Mike O'Connor, Stephen W. Keckler

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Tags: Computer science, CUDA, Design space exploration, nVidia, PTX, Tesla K10, Tesla K20, Tesla K40

April 25, 2015 by hgpu

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

Edoardo Paone

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Tags: Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia Quadro NVS 300, OpenCL, Thesis

January 30, 2015 by hgpu

Hierarchical Mapping Techniques for Signal Processing Systems on Parallel Platforms

Lai-Huei Wang

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Tags: Computer vision, CUDA, Design space exploration, DSP, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 680, Signal processing, Thesis

October 31, 2014 by hgpu

An Energy Optimization of a GPU Application by Grid Design Space Exploration

Hana Park, Jungmin So, Young-Woong Ko, Jeong-Gun Lee

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Tags: Computer science, CUDA, Design space exploration, Energy-efficient computing, nVidia, nVidia GeForce GTX 660

August 8, 2013 by hgpu

Starchart: Hardware and Software Optimization Using Recursive Partitioning Regression Trees

Wenhao Jia, Kelly A. Shaw, Margaret Martonosi

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Tags: Algorithms, ATI, ATI Radeon HD 7970, Computer science, Design space exploration, nVidia, OpenCL, Tesla C2070

July 17, 2013 by hgpu

Design Space Exploration of Real-time Bedside and Portable Medical Ultrasound Adaptive Beamformer Acceleration

Junying Chen

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Tags: Algorithms, CUDA, Design space exploration, FPGA, Medicine, nVidia, nVidia GeForce GTX 680, Thesis, Ultrasound

July 12, 2013 by hgpu

Multidimensional Dataflow Graph Modeling and Mapping for Efficient GPU Implementation

Lai-Huei Wang, Chung-Ching Shen, Gunasekaran Seetharaman, Kannappan Palaniappan, Shuvra S. Bhattacharyya

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Tags: Computer science, CUDA, Design space exploration, DSP, nVidia, nVidia GeForce GTX 260

December 1, 2012 by hgpu

Accelerating SystemC Simulations using GPUs

Mahesh Nanjundappa, Anirudh Kaushik, Hiren D. Patel, Sandeep K. Shukla

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Tags: Computer science, CUDA, Design space exploration, nVidia

November 18, 2012 by hgpu

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

David Sheffield, Michael Anderson, Kurt Keutzer

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Source codes

Tags: Computer science, Design space exploration, FPGA, Package, Python

October 25, 2012 by hgpu

Page 1 of 312 3 »

MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

MEDINA: MECCA Development in Accelerators – KPP Fortran to CUDA source-to-source Preprocessor

Internally-maintained tool for examining GPU scheduling behavior

Inferring the Scheduling Policies of an Embedded CUDA GPU

CLBlast: Tuned OpenCL BLAS

CLBlast: A Tuned OpenCL BLAS Library

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

Efficient Parallel Methods for Deep Reinforcement Learning

IDA*

Block-Parallel IDA* for GPUs

Repository for 1D Swept rule scheme written in CUDA C

Accelerating solutions of PDEs with GPU-based swept time-space decomposition

DeepMetabolism: a deep learning algorithm to predict phenotype from genome sequencing

DeepMetabolism: A Deep Learning System to Predict Phenotype from Genome Sequencing

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high performance computing on graphics processing units: hgpu.org

Exploration of cyber-physical systems for GPGPU computer vision-based detection of biological viruses

Efficient Kernel Synthesis for Performance Portable Programming

Many-Core Architectures: Hardware-Software Optimization and Modeling Techniques

Flexible Software Profiling of GPU Architectures

Design Space Exploration of OpenCL Applications on Heterogeneous Parallel Platforms

Hierarchical Mapping Techniques for Signal Processing Systems on Parallel Platforms

An Energy Optimization of a GPU Application by Grid Design Space Exploration

Starchart: Hardware and Software Optimization Using Recursive Partitioning Regression Trees

Design Space Exploration of Real-time Bedside and Portable Medical Ultrasound Adaptive Beamformer Acceleration

Multidimensional Dataflow Graph Modeling and Mapping for Efficient GPU Implementation

Accelerating SystemC Simulations using GPUs

Automatic Generation Of Application-Specific Accelerators for FPGAs from Python Loop Nests

Recent source codes

MECCA development in accelerators - KPP Fortran to CUDA source-to-source pre-processor

Internally-maintained tool for examining GPU scheduling behavior

CLBlast: Tuned OpenCL BLAS

Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning

IDA*

Repository for 1D Swept rule scheme written in CUDA C

DeepMetabolism: a deep learning algorithm to predict phenotype from genome sequencing

OpenDwarfs

parallel-si: Efficient Parallel Strategy Improvement for Parity Games

AVX-512 sort functions

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4th International Conference on Biomedical and Bioinformatics Engineering (ICBBE), 2017

9th International Conference on Signal Processing Systems (ICSPS), 2017

The 5th International conference on Control, Mechatronics and Automation (ICCMA), 2017

8th International Conference on Biology, Environment and Chemistry (ICBEC), 2017

2nd International Conference on Communication and Information Systems (ICCIS), 2017