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Performance Improvement of Data Mining in Weka through GPU Acceleration

Tiago Augusto Engel, Andrea Schwertner Charao, Manuele Kirsch-Pinheiro, Luiz-Angelo Steffenel

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Tags: Comuter science, CUDA, Data mining, Java, Matrix multiplication, nVidia, nVidia Quadro K 2000, Package, Tesla K20, Tesla M2050

June 13, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

Performance Improvement of Data Mining in Weka through GPU Acceleration

Recent source codes

KTT - Kernel Tuning Toolkit

UPC++: a PGAS library for C++

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

KTT - Kernel Tuning Toolkit

HSA-on-FPGA

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

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

C-for-Metal: High Performance SIMD Programming on Intel GPUs

Efficient MPI-based Communication for GPU-Accelerated Dask Applications

Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents

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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