Measurement techniques

hgpu.org » Measurement techniques

Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs

Yehia Arafa, Ammar ElWazir, Abdelrahman ElKanishy, Youssef Aly, Ayatelrahman Elsayed, Abdel-Hameed Badawy, Gopinath Chennupati, Stephan Eidenbenz, Nandakishore Santhi

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Tags: Computer science, CUDA, Energy-efficient computing, Measurement techniques, nVidia, nVidia GeForce GTX 1080 Ti, nVidia GeForce GTX Titan V, nVidia GeForce GTX Titan X, nVidia Titan RTX, PTX

February 23, 2020 by hgpu

GPU performance comparison for accelerated radar data processing

Chris Fallen, Beau Bellamy, Greg Newby, Brent Watkins

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Tags: Measurement techniques, nVidia, nVidia GeForce GTX 480, OpenCL, Presentation, Signal processing, Tesla M2050

October 4, 2011 by hgpu

Improving processing time for visual measurements of displacements of IPMC actuators using CUDA

K. Tsiakmakis, T. Laopoulos

Tags: CUDA, Image processing, Materials Science, Measurement techniques, nVidia, Physics

June 26, 2011 by hgpu

Evolution of thread-level parallelism in desktop applications

Geoffrey Blake, Ronald G. Dreslinski, Trevor Mudge, Krisztian Flautner

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Tags: Benchmarking, Computer science, Measurement techniques, nVidia, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia ION

November 7, 2010 by hgpu

FlowPM: Distributed TensorFlow Implementation of the FastPM Cosmological N-body Solver

Hummingbird: a library for compiling trained traditional ML models into tensor computations

A Tensor Compiler for Unified Machine Learning Prediction Serving

Bempp-cl: A fast Python based just-in-time compiling boundary element library

Deep Learning for Digital Asset Limit Order Books

Dream to Control

Mastering Atari with Discrete World Models

visrec-api: specification of standard Visual Recognition API for Java (JSR381)

Transparent Acceleration of Java-based Deep Learning Engines

LoopBench: An Evaluation of Loop Acceleration in Heterogeneous Systems

GemmKernels: Flexible and performant GEMM kernels in Julia

Flexible Performant GEMM Kernels on GPUs

Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

Extending High-Level Synthesis for Task-Parallel Programs

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The Fifth International Workshop on GPU Computing and AI (GCA), 2020

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13-15

Shenzhen, China

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

2020

December

14-16

Bangkok, Thailand

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

2020

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14-16

Bangkok, Thailand

International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020

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high performance computing on graphics processing units: hgpu.org

Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs

GPU performance comparison for accelerated radar data processing

Improving processing time for visual measurements of displacements of IPMC actuators using CUDA

Evolution of thread-level parallelism in desktop applications

Recent source codes

FlowPM: Distributed TensorFlow Implementation of the FastPM Cosmological N-body Solver

Hummingbird: a library for compiling trained traditional ML models into tensor computations

Bempp-cl: A fast Python based just-in-time compiling boundary element library

Deep Learning for Digital Asset Limit Order Books

Dream to Control

visrec-api: specification of standard Visual Recognition API for Java (JSR381)

LoopBench: An Evaluation of Loop Acceleration in Heterogeneous Systems

GemmKernels: Flexible and performant GEMM kernels in Julia

Accelerating Sparse Matrix-Matrix Multiplication with GPU Tensor Cores

Extending High-Level Synthesis for Task-Parallel Programs

Most viewed papers (last 30 days)

Featured events

The 18th International Conference on High Performance Computing & Simulation (HPCS), 2020

The Fifth International Workshop on GPU Computing and AI (GCA), 2020

2nd International Conference on Frontiers of Intelligent Manufacturing and Automation (CFIMA’21), 2021

International Conference on Cyber Physical Systems and IoT (CPSIOT’20), 2020

International Conference on Wireless Networks and Embedded Systems (ICWNES’20), 2020