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High performance pattern matching and data remanence on graphics processing units

X. Bellekens

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Tags: Aho Corasick, Algorithms, amazon, BMH, CUDA, Digital Forensic, forensic, GPU, pattern matching, PFAC, remanence, Sequence matching, String matching, Suffix Tree, Tesla K20, Tesla K20c

November 22, 2016 by xhgpu

AutoDock-GPU: AutoDock for GPUs and other accelerators

Accelerating AutoDock4 with GPUs and Gradient-Based Local Search

BASEMENT - Basic Simulation Environment

BASEMENT v3: a modular freeware for river process modelling over multiple computational backends

Charm++: a message-passing parallel language and runtime system

GPU-aware Communication with UCX in Parallel Programming Models: Charm++, MPI, and Python

KTT - Kernel Tuning Toolkit

Using hardware performance counters to speed up autotuning convergence on GPUs

UPC++: a PGAS library for C++

A Newcomer In The PGAS World – UPC++ vs UPC: A Comparative Study

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

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

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

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2021

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9th International Workshop on OpenCL and SYCL, 2021

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

2020

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24-27

Naha, Okinawa, Japan

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Shenzhen, China

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