high performance computing on graphics processing units: hgpu.org

hgpu.org » BMH

High performance pattern matching and data remanence on graphics processing units

X. Bellekens

View

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

HEVolRender: Homomorphic-Encrypted Volume Rendering

Homomorphic-Encrypted Volume Rendering

Vina-GPU: A heterogeneous OpenCL implementation of AutoDock Vina

Accelerating AutoDock VINA with GPUs

GCN Inference Acceleration HLS

GCN Inference Acceleration using High-Level Synthesis

Climate Machine: an Earth System Model that automatically learns from data

Large-eddy simulations with ClimateMachine: a new open-source code for atmospheric simulations on GPUs and CPUs

HLS Portability from Intel to Xilinx: A Case Study

HLS Portability from Intel to Xilinx: A Case Study

HEXL: Intel Homomorphic Encryption Acceleration Library

Accelerating Encrypted Computing on Intel GPUs

Taskflow: A General-purpose Parallel and Heterogeneous Task Programming System

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

CompilerGym: a library performant reinforcement learning environments for compiler tasks

CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research

HPCToolkit

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

NVPTX-SPIR-V Translator

Supporting CUDA for an extended RISC-V GPU architecture

See all packages

* * *

* * *

HGPU group © 2010-2021 hgpu.org

All rights belong to the respective authors

Login | Sitemap | Feedback | Policy

Contact us: