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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

Futhark

Bounds Checking on GPU

OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids

OpenSBLI: Automated code-generation for heterogeneous computing architectures applied to compressible fluid dynamics on structured grids

Stanza: A Python NLP Library for Many Human Languages

Biomedical and Clinical English Model Packages in the Stanza Python NLP Library

Benchmark for sparse-dense matrix multiplications

Optimizing Block-Sparse Matrix Multiplications on CUDA with TVM

Darknet on OpenCL: a multi-platform tool for object detection and classification

Darknet on OpenCL: a multi-platform tool for object detection and classification

3DES on Nvidia GPUs

Bit-level Parallelization of 3DES Encryption on GPU

SONIC: (Services for Optimized Network Inference on Coprocessors) for CMS

GPU coprocessors as a service for deep learning inference in high energy physics

UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs

UVMBench: A Comprehensive Benchmark Suite for Researching Unified Virtual Memory in GPUs

Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads

Offload Annotations: Bringing Heterogeneous Computing to Existing Libraries and Workloads

ComPyle: execute a subset of Python on HPC platforms

Compyle: a Python package for parallel computing

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2020

November

24-27

Naha, Okinawa, Japan

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

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Shenzhen, China

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Bangkok, Thailand

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Bangkok, Thailand

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2020

December

14-16

Bangkok, Thailand

International Joint Conference on Signals, Systems and Computers (CSSC’20), 2020

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