Modern C++ Parallel Task Programming
-
Updated
Sep 6, 2020 - C++
{{ message }}
Modern C++ Parallel Task Programming
Acceleration package for neural networks on multi-core CPUs
Open-source software for volunteer computing and grid computing.
An R-focused pipeline toolkit for reproducibility and high-performance computing
Fast Clojure Matrix Library
BLAS-like Library Instantiation Software Framework
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Almost all of Kokkos should be noexcept, but let's break it up into pieces that can be tackled in reasonable-sized issues. This one is the most urgent.
Linear algebra in TypeScript.
Lightweight, general, scalable C++ library for finite element methods
libhermit-rs: A Rust-based library operting system
High-performance Bayesian Data Analysis on the GPU in Clojure
Just an FYI whilst I was trawling through the ROCm GitHub page:
https://rocmdocs.amd.com/en/latest/Programming_Guides/Programming-Guides.html#
ClojureCL is a Clojure library for parallel computations with OpenCL.
GraphIt - A High-Performance Domain Specific Language for Graph Analytics
We currently don't test for cases without mesh connectivity. And, we don't test for parallel (distributed) meshes.
Current tests: https://github.com/precice/precice/blob/develop/src/precice/tests/WatchPointTest.cpp
Vulkan compute for people
High-performance object-based library for DLA computations
Image-processing software for cryo-electron microscopy
A framework for Smoothed Particle Hydrodynamics in Python
The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
HermitCore: A C-based, lightweight unikernel
Advanced Simulation Library - hardware accelerated multiphysics simulation platform.
A parallel application binary interface for Fortran 2018 compilers.
The Accelerator is a tool for fast and reproducible processing of large amounts of data.
High-Performance Tensor Transpose library
DASH, the C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science
For large parameter sets the optimizers can take a non-trivial amount of time. They lack timers to indicate how long the optimization took vs the configuration generation.
Add a description, image, and links to the high-performance-computing topic page so that developers can more easily learn about it.
To associate your repository with the high-performance-computing topic, visit your repo's landing page and select "manage topics."
Heston model has accurate density approximations for European option prices, which are of interest.
The module implementing this method should live under tf_quant_finance/volatility/heston_approximation.py. It should support both European option puts and calls approximations. Tests should be in heston_approximation_test.py in the same folder.