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Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs

Viktor Rosenfeld, Sebastian Bress, Steffen Zeuch, Tilmann Rabl, Volker Markl

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Tags: Algorithms, AMD Radeon R9 Fury, ATI, Computer science, Hashing, nVidia, nVidia GeForce GXT 1080, nVidia GeForce GXT 980, OpenCL, Performance, Tesla K40, Tesla V100

June 16, 2019 by hgpu

cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs

KTT - Kernel Tuning Toolkit

Searching CUDA code autotuning spaces with hardware performance counters: data from benchmarks running on various GPU architectures

HSA-on-FPGA

Transparent FPGA Acceleration with TensorFlow

SYCL for Vitis 2020.1: experimental melting pot with Intel oneAPI DPC++ SYCL and triSYCL for Xilinx FPGA

triSYCL for Xilinx FPGA

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

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

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24-27

Naha, Okinawa, Japan

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

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Bangkok, Thailand

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

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high performance computing on graphics processing units: hgpu.org

Performance Analysis and Automatic Tuning of Hash Aggregation on GPUs

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cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs

KTT - Kernel Tuning Toolkit

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AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

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Featured events

9th International Workshop on OpenCL and SYCL, 2021

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