mahsanchez Goto Github PK

2016fa_ece408_project

The goal of this project is to accelerate the forward propagation step of the Convolutional Neural Network (CNN) algorithm using GPUs.

aad-trilinos

Primary repository for the Trilinos Project

aadc-prototype

adaptivecpp

Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

adept-2

Combined array and automatic differentiation library in C++

amazon-ecs-mythicalmysfits-workshop

A tutorial for developers who want to learn about how to containerized applications on top of AWS using AWS Fargate. You will build a sample website that leverages infrastructure as code, containers, CI/CD, and more! If you're planning on running this, let us know @ [email protected]. At re:Invent 2018, these sessions were run as CON2

amazon-redshift-cookbook

Amazon Redshift Cookbook, Published by Packt

amgx

Distributed multigrid linear solver library on GPU

apache-spark

apache spark notes

aws-waf-security-automations

This solution automatically deploys a single web access control list (web ACL) with a set of AWS WAF rules designed to filter common web-based attacks.

building-low-latency-applications-with-cpp

Building Low Latency Applications with CPP by Packt Publishing

compiler-design

Compiler Construction Principles and Practice by Kenneth C. Louden

cpp-high-performance

C++ High Performance, published by Packt

cpp-high-performance-second-edition

C++ High Performance Second Edition, published by Packt

cpp_hpc_tutorial

C++ HPC Tutorial materials

cub

Cooperative primitives for CUDA C++.

cuda

CUDA training materials

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cuda-training-series

Training materials associated with NVIDIA's CUDA Training Series (www.olcf.ornl.gov/cuda-training-series/)

cudadma

Emulating DMA Engines on GPUs for Performance and Portability

cupbop

A framework that support executing unmodified CUDA source code on non-NVIDIA devices.

cutlass

CUDA Templates for Linear Algebra Subroutines

cva_aad

cva_hjm

Interest Rate Modelling for Counterparty Credit Risk (HJM)

cva_hjm_cuda

Interest Rate Modelling for Counterparty Credit Risk (GPU-Acceleration)

cva_libor

Interest Rate Modelling for Counterparty Credit Risk (LMM-IR)

data-engineering-with-aws

Data Engineering with AWS, Published by Packt

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dmc3

Example programs from "Discovering Modern C++" 2nd edition (3rd code update)

ec2-spot-montecarlo-workshop

Material for re:Invent 2017 - CMP316 - Workshop: Hedge Your Own Funds: Run Monte Carlo Simulations on Amazon EC2 Spot Fleets