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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

Architectural explorations for streaming accelerators with customized memory layouts

Muhammad Shafiq

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Tags: Algorithms, Computer science, CUDA, Design space exploration, nVidia, Tesla C2050, Thesis

October 6, 2012 by hgpu

Shortening design time through multiplatform simulations with a portable OpenCL golden-model: the LDPC decoder case

G. Falcao, M. Owaida, D. Novo, M. Purnaprajna, N. Bellas, C.D. Antonopoulos, G. Karakonstantis, A. Burg, P. Ienne

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Tags: ATI, ATI Radeon HD 5870, Computer science, Design space exploration, FPGA, OpenCL, Parity-check codes

June 5, 2012 by hgpu

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

Georg Kunz, Daniel Schemmel, James Gross, Klaus Wehrle

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Tags: Computer science, CUDA, Design space exploration, nVidia, nVidia GeForce GTX 470

April 19, 2012 by hgpu

GPGPU-Accelerated Instruction Accurate and Fast Simulation of Thousand-core Platforms

Shivani Raghav, Martino Ruggiero, David Atienza, Christian Pinto, Andrea Marongiu, Luca Benini

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

March 31, 2012 by hgpu

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Rodrigo Dominguez

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Design space exploration, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTX, OpenCL, Thesis

March 27, 2012 by hgpu

Relational Algorithms for Multi-Bulk-Synchronous Processors

Gregory Frederick Diamos, Haicheng Wu, Ashwin Lele, Jin Wang, Sudhakar Yalamanchili

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Tags: Algorithms, Computational Complexity, Computer science, CUDA, Databases, Design space exploration, nVidia, Optimization, Tesla C2050

March 9, 2012 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

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

Architectural explorations for streaming accelerators with customized memory layouts

Shortening design time through multiplatform simulations with a portable OpenCL golden-model: the LDPC decoder case

Multi-level Parallelism for Time- and Cost-efficient Parallel Discrete Event Simulation on GPUs

GPGPU-Accelerated Instruction Accurate and Fast Simulation of Thousand-core Platforms

Dynamic Translation of Runtime Environments for Heterogeneous Computing

Relational Algorithms for Multi-Bulk-Synchronous Processors

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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