Lectures
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Graduate Student Lecture II
tl;dr: Topical discussions by graduate students ...
Class presentations by graduate students on HPC topics, attendance is mandatory for all students.
Speakers for the day:
- Revathi Dhotre Leveraging HPC for Electronic Design Automation (EDA)
- Cameron Benesch Parallel Algorigthms
- Vishwa Sheth Applications of HPC in Computational Fluid Dynamics
- Linh Vu High-Performance Computing and Large Language Models, a Review
- Smita Darmora Applications of HPC in High Energy Physics
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Graduate Student Lecture I
tl;dr: Topical discussions by graduate students ...
Class presentations by graduate students on HPC topics, attendance is mandatory for all students.
Speakers for the day:
- Matthew T. Dearing Toward a Digital Twin for HPC: Forecasting Simulations of Network Systems
- Amy J. Byrnes The Necessity of High Performance Computing in Modern Observational Cosmology
- Vishal Vaka ARM in HPC
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No Class Meeting
tl;dr: Take time to explore MPI
Spend some time coding MPI!
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Visualization
tl;dr: Introduction to visualization in HPC world
Artifacts: [slides]
Readings: [Chapter 08]
Supplemental Readings:
- Parallel and High Performance Computing (Yuliana Zamora and Robert Robey) - Shared-Memory Programming: OpenMP
- Parallel Programming (Bertil Schmidt, Jorge Gonzalez-Martinez, Christian Hundt and Moritz Schlarb) - Message Passing Interface
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Checkpointing and Performance
tl;dr: Saving your work and measuring performance
Artifacts: [slides]
Readings: [Chapter 12]
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Algorithms and Debugging
tl;dr: Algorithms used in HPC and debugging strategies
Artifacts: [slides]
Readings: [Chapter 13][Chapter 20]
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Introduction to CUDA
tl;dr: CUDA enables general-purpose computing on Nvidia GPUs
Artifacts: [slides]
Guest lecture by Professor Lan (University of Illinois Chicago) on CUDA.
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Introduction to SYCL
tl;dr: SYCL brings heterogeneous computing to C++
Artifacts: [code]
Guest lecture by Professor Thiruvathukal (Loyola University) on SYCL.
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Threads and Creating Graphs
tl;dr: Review / introduction to C++ threads and simple python graphs
Artifacts: [slides] [code]
Readings: [Chapter 07]
Supplemental Reading:
- Multicore and GPU Programming (Gerassimos Barlas) - Shared-Memory Programming: OpenMP
- Parallel Programming (Bertil Schmidt, Jorge Gonzalez-Martinez, Christian Hundt and Moritz Schlarb) - OpenMP
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Benchmarking and Resource Management
tl;dr: What's a benchmark and why? Introduction to resource management
Artifacts: [slides]
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Commodity Clusters
tl;dr: Brief overview of commodity clusters and deep dive into the Aurora supercomputer
Artifacts: [slides]
Readings: [Chapter 04][Chapter 05 [Only 5.1 and 5.3]]
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Systems and Technologies
tl;dr: A brief look at systems and technologies, what are the key properties of HPC architecture
Artifacts: [slides]
Readings: [Chapter 03]
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Introduction and History HPC
tl;dr: Introduction to high performance computing and its history ...
Artifacts: [slides]
Readings: [Chapter 02]
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Class Tools and Resources II
tl;dr: C++ and Makefiles
Artifacts: [slides] [code]
Readings: [Chapter 01]
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Welcome to HPC
tl;dr: Discussion of course, expectations and general overview...
Artifacts: [slides]