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A lightweight, high-performance C++ benchmarking and tracking library for effortless function profiling in both development and production environments. Features single-header integration, minimal …
MCMC Simulations of 4D SU(3) Yang-Mills theory using variations of Metadynamics
AVX-optimized sin(), cos(), exp() and log() functions
An implementation of C++ std::complex for CUDA devices (i.e. compiles with nvcc)
Blazing-fast Expression Templates Library (ETL) with GPU support, in C++
Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction
STL compatible C++ memory allocator library using a new RawAllocator concept that is similar to an Allocator but easier to use and write.
Pyneapple is an advanced tool for analysing multi-exponential signal data in MR DWI images.
Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.
Compile-time-efficient proof-of-concept implementation for std::tuple
std::experimental::simd for GCC [ISO/IEC TS 19570:2018]
C++ library for reading and writing of numpy's .npy files
C++ zero-cost abstraction for SoA/AoS memory layouts
C++ implementation of the Python Numpy library
A curated list of awesome high performance computing resources
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning
What features does your CPU and OS support?
Techniques and numbers for estimating system's performance from first-principles
A Package for Automatic Differentiation of Algorithms Written in C/C++
A lightweight high performance tensor algebra framework for modern C++
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.