Pinned Repositories
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!
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)
fixed_income_pricing_risk_library
Fixed Income Pricing Risk Library
nthtodefaultbasquetcds-copula
papers
mahsanchez's Repositories
mahsanchez/AAD-Trilinos
Primary repository for the Trilinos Project
mahsanchez/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!
mahsanchez/Adept-2
Combined array and automatic differentiation library in C++
mahsanchez/AMGX
Distributed multigrid linear solver library on GPU
mahsanchez/apache-spark
apache spark notes
mahsanchez/cva_hjm_cuda
Interest Rate Modelling for Counterparty Credit Risk (GPU-Acceleration)
mahsanchez/fixed_income_pricing_risk_library
Fixed Income Pricing Risk Library
mahsanchez/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 @ aws-mythical-mysfits@amazon.com. At re:Invent 2018, these sessions were run as CON2
mahsanchez/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.
mahsanchez/Building-Low-Latency-Applications-with-CPP
Building Low Latency Applications with CPP by Packt Publishing
mahsanchez/cub
Cooperative primitives for CUDA C++.
mahsanchez/cuda-samples
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
mahsanchez/CuPBoP
A framework that support executing unmodified CUDA source code on non-NVIDIA devices.
mahsanchez/cutlass
CUDA Templates for Linear Algebra Subroutines
mahsanchez/Data-Engineering-with-AWS
Data Engineering with AWS, Published by Packt
mahsanchez/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
mahsanchez/GPU-programming
Meta-GPU lesson covering general aspects of GPU programming as well as specific frameworks
mahsanchez/Megatron-LM
Ongoing research training transformer models at scale
mahsanchez/OpenFOAM-10
OpenFOAM Foundation repository for OpenFOAM version 10
mahsanchez/phaseFieldFoam
OpenFOAM solver for phase field modelling
mahsanchez/range-v3
Range library for C++14/17/20, basis for C++20's std::ranges
mahsanchez/Serverless-Analytics-with-Amazon-Athena
Serverless Analytics with Amazon Athena, published by packt
mahsanchez/Serverless-ETL-and-Analytics-with-AWS-Glue
Serverless ETL and Analytics with AWS Glue, published by Packt
mahsanchez/stdexec
`std::execution`, the proposed C++ framework for asynchronous and parallel programming.
mahsanchez/thrust
The C++ parallel algorithms library.
mahsanchez/Thrust-Code-Report
Links, slide decks and other material for conference & meetup talks, podcast appearances and publications.
mahsanchez/tutorial-multi-gpu
Efficient Distributed GPU Programming for Exascale, an SC/ISC Tutorial
mahsanchez/venom-sparse-tensor-cores
A Vectorized N:M Format for Unleashing the Power of Sparse Tensor Cores
mahsanchez/what-is-nick-highman
Important concepts in numerical linear algebra and related areas
mahsanchez/XAD
Comprehensive automatic differentiation in C++