CUDA C++ Core Libraries
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Updated
Jun 10, 2024 - C++
CUDA C++ Core Libraries
mirai - Minimalist Async Evaluation Framework for R
CenyML provides a machine learning library and API programmed in C that was created by César Miranda Meza. The goal of this project is to provide a highly transparent machine learning library that prioritizes obtaining maximum performance.
This project implements the code examples from the course: `Concurrent and Parallel Programming in Python` by Maximilian Schallwig
C++ class to increase development speed
C++ class for signal processing, async network programming, concurrency, parallel computing and multithreading
Tascell: Backtrcking-based load balancing framework
Farmer Solutions, your company is requested to write a program that will be used by farmers to determine the profits or losses of the crops on their farms. the main purpose of this program will be to determine which farms of a farmer are running at a loss. The data is stored in a file called Farm.txt. This data will be loaded into a Farmer
A high-performance, zero-overhead, extensible Python compiler using LLVM
A General-purpose Parallel and Heterogeneous Task Programming System
oneAPI Math Kernel Library (oneMKL) Interfaces
HPC solver for nonlinear optimization problems
Parallel Programming with Python and Charm++
oneAPI Specification source files
ThreadPoolManager is a C++ project that implements an efficient multi-threading system using a thread pool for generic functions of the same type and different tasks. It includes task management, synchronization mechanisms, and thread-safe logging to demonstrate concurrent task execution.
Differential Equation Solver using GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
Sparse Matrix Library for GPUs, CPUs, and FPGAs via CUDA, OpenCL, and oneAPI
DiscoPoP - Discovery of Potential Parallelism
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