High-Performance-Computing

HPC projects and assignments

Objectives

Review the fundamental system elements in a high performance computer system.
Develop a good understanding of parallelism in both hardware and software.
Develop skills in parallel programming, including use of common libraries, frameworks, and profiling tools.
Develop an appreciation for the power of parallel algorithms.
Develop quantitative analysis methods to evaluate different parallelization strategies.
Understand how to exploit accelerators in challenging applications.
Explore current trends in HPC systems, including many-core, heterogeneity, GPUs, accelerators and quantum computing.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Acting_Compiler		Acting_Compiler
Author Distribution in CUDA		Author Distribution in CUDA
Author Distribution in MPI		Author Distribution in MPI
Calculate Pi with Dart Method		Calculate Pi with Dart Method
Dining Philosophers Problem		Dining Philosophers Problem
Parallel Histogramming Program Part A		Parallel Histogramming Program Part A
Parallel Histogramming Program Part B		Parallel Histogramming Program Part B
Linux-Semaphores-and-Posix-Pthreads-Program-README		Linux-Semaphores-and-Posix-Pthreads-Program-README
Linux-Semaphores-and-Posix-Pthreads.cpp		Linux-Semaphores-and-Posix-Pthreads.cpp
Matrix-Vector-Program-README		Matrix-Vector-Program-README
README.md		README.md
matrix-vector.cpp		matrix-vector.cpp
taylor-series.c		taylor-series.c