Caliper, Hatchet, and Thicket: Open-Source Tools for HPC Performance Analysis

Offered By: Inside Livermore Lab via YouTube

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Explore the power of three open-source projects in this comprehensive tutorial from LLNL's RADIUSS initiative. Learn how to integrate performance profiling capabilities into applications using Caliper, analyze hierarchical performance data with Hatchet, and optimize application performance on supercomputers through Thicket. Gain hands-on experience with these GPU-ready tools, applicable for both cloud and on-premises environments. Discover how these foundational software products contribute to scientific applications, including build tools, math and physics libraries, data management and visualization software, workflow tools, and portable programming and memory management libraries.

Syllabus

Caliper, Hatchet, and Thicket

Taught by

Inside Livermore Lab

Related Courses

Tech Recruiting Foundations: 2 Understanding Hardware and Operating Systems
LinkedIn Learning Linux Terminal for beginners
Udemy Fast and Accurate Deep Neural Networks Training
Paul G. Allen School via YouTube Domain Specific Architectures for Deep Neural Networks: Three Generations of Tensor Processing Units
Paul G. Allen School via YouTube Analog Supercomputers - From Quantum Atom to Living Body
TEDx via YouTube