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Performance and Power Comparisons Between Nvidia and ATI GPUs

Ying Zhang, Lu Peng, Bin Li, Jih-Kwon Peir, Jianmin Chen

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, OpenCL, Performance

January 8, 2015 by hgpu

A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

Sparsh Mittal

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Tags: Embedded high-performance computing, Energy-efficient computing, FPGA, GPU, Power-efficient computing

January 7, 2015 by sparsh0mittal

A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems

Jonathan Wong, Ellen Kuhl, Eric Darve

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce GTX 480, Sparse matrix

January 5, 2015 by hgpu

Subdivision Surface Evaluation as Sparse Matrix-Vector Multiplication

Michael Driscoll

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Tags: 3D Graphics and Realism, Computer science, CUDA, Linear Algebra, Matrix multiplication, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Sparse matrix

January 5, 2015 by hgpu

Hierarchical DAG Scheduling for Hybrid Distributed Systems

Wei Wu, Aurelien Bouteiller, George Bosilca, Mathieu Faverge, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Tesla K40, Tesla M2090

January 5, 2015 by hgpu

Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads

Giorgis Georgakoudis, Charles J. Gillan, Ahmed Sayed, Ivor Spence, Richard Faloon, Dimitrios S. Nikolopoulos

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Tags: ARM, Computer science, Finance, Intel Xeon Phi, Option pricing

January 5, 2015 by hgpu

GPU: Power vs Performance

Siddhartha Sankar Mondal

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Tags: Benchmarking, Computer science, CUDA, Energy-efficient computing, nVidia, nVidia GeForce GTX 580, Thesis

January 5, 2015 by hgpu

Real-Time Incompressible Fluid Simulation on the GPU

Xiao Nie, Leiting Chen, Tao Xiang

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Tags: 3D Graphics and Realism, CUDA, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 780, Real-time graphics, Sorting

January 2, 2015 by hgpu

Customization of OpenCL Applications for Efficient Task Mapping under Heterogeneous Platform Constraints

Edoardo Paone, Francesco Robino, Gianluca Palermo, Vittorio Zaccaria, Ingo Sander, Cristina Silvano

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia Quadro NVS 300, OpenCL, Performance

January 2, 2015 by hgpu

Performance comparison of Lattice Boltzmann fluid flow simulation using OpenCL and CUDA frameworks

Jelena Tekic, Predrag Tekic, Milos Rackovic

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Tags: Benchmarking, CUDA, Fluid dynamics, Heterogeneous systems, Java, Lattice Boltzmann model, nVidia, nVidia GeForce GT 220, OpenCL

January 2, 2015 by hgpu

GPU-based acceleration of free energy calculations in solid state physics

Michal Januszewski, Andrzej Ptok, Dawid Crivelli, Bartlomiej Gardas

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Tags: Algorithms, Computational Physics, CUDA, Fortran, nVidia, Physics, Tesla K40

January 2, 2015 by hgpu

Disjunctive Normal Networks

Mehdi Sajjadi, Mojtaba Seyedhosseini, Tolga Tasdizen

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Tags: Computer science, Computer vision, CUDA, Machine learning, Neural and Evolutionary Computing, Neural networks, nVidia

January 2, 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

Performance and Power Comparisons Between Nvidia and ATI GPUs

A Survey of Techniques For Improving Energy Efficiency in Embedded Computing Systems

A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems

Subdivision Surface Evaluation as Sparse Matrix-Vector Multiplication

Hierarchical DAG Scheduling for Hybrid Distributed Systems

Methods and Metrics for Fair Server Assessment under Real-Time Financial Workloads

GPU: Power vs Performance

Real-Time Incompressible Fluid Simulation on the GPU

Customization of OpenCL Applications for Efficient Task Mapping under Heterogeneous Platform Constraints

Performance comparison of Lattice Boltzmann fluid flow simulation using OpenCL and CUDA frameworks

GPU-based acceleration of free energy calculations in solid state physics

Disjunctive Normal Networks

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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