GPU621/DPS921 G P Index 20207

GPU621/DPS921 | Participants | Groups and Projects | Resources | Glossary

Please add an overview of your group here and create a separate project page for your group!

Project Rules

1. Use the Group page for a Journal of your activities throughout the course of the project
2. Project should cover material that differ from the material on the course web site
3. Presentation can be in powerpoint or walkthru the group project page
4. Link to the project page should be on the Participants table
5. Presentation slots are first come first served
6. Attendance at all presentations is mandatory - marks will be deducted for absenteeism
7. Marks will be awarded for both Group Wiki page and for the Presentation

Sample Projects (Former Students)

1. Winter 2016 semester
2. Fall 2016 semester
3. Fall 2017 semester
4. Fall 2018 semester

Suggested Projects (each * denotes one group that has claimed this topic)

1. Intel Parallel Studio Advisor - [Intel Site] *
2. Intel Parallel Studio Inspector - [Intel Site] *
3. Intel Parallel Studio vTune Amplifier - [Intel Site] *
4. Intel Math Kernel Library - [Intel Site]
5. Intel Data Analytics Acceleration Library - [Intel Site]
6. Totalview Debugger - [Get Student License]
7. OpenMP Debugging in Visual Studio - [MSDN Notes] *
8. Debugging Threads in Intel Parallel Studio - [Dr Dobbs Article] *
9. Analyzing False Sharing - [Herb Sutter's Article]
10. The Chapel Programming Language - [Chapel Site] *
11. Apache's Spark - [Spark Site]*
12. OpenMP Profiler - [ompP]
13. C++11 Threads Library Comparison to OpenMP - Case Studies *
14. C++11 STL Comparison to TBB - Case Studies *

Group and Project Index

You can find a sample project page template here

Sample Project

Project Title here

1. Chris Szalwinski
2. Fardad Soleimanloo
3. eMail All

GPU Targeters

OpenMP Target

1. Elena Sakhnovitch
2. Nathan Olah
3. Yunseon Lee
4. eMail All

Parallelogram

History of Parallel Computing

1. Omri Golan
2. Yuka Sadaoka
3. Patrick Keating

A-Team

Convolutional Neural Networks Using PyTorch

1. Shervin Tafreshipour
2. Parsa Jalilifar
3. Novell Rasam

Rinse Reduce

Apache Spark vs Apache Hadoop MapReduce

1. Akhil Balachandran
2. Daniel Park
3. All

Team team

C++11 STL Comparison to TBB - Case Studies

1. Michael Vizl
2. Nathen Gay
3. eMail All

Go Parallel

Go (Language) Parallel Programming

1. Michael Brackett
2. Devansh Shah

Hung Hing

Intel Parallel Studio Inspector

1. Yuhao Lu
2. Song Zeng
3. Jiawei Yang
4. eMail All

Pancake

The Chapel Programming Language

1. Xi Weng
2. Ivan Huang
3. Yu Li
4. eMail All

The AMD Bois

Performance comparison between OpenMP and OpenACC

1. Ruiqi Yu
2. Hanlin Li
3. Le Minh Pham
4. eMail All

VTune

Intel Parallel Studio VTune Amplifier

1. Shivani Kapila
2. Jay Yin
3. eMail All

All-nighters

Web Worker API

1. Khang Nguyen
2. Anton Biriukov
3. Akshatkumar Patel
4. eMail All

Team BP

Intel Parallel Studio Inspector

1. Pirathapan Nagendrarajah
2. Babken Nurijanyan
3. eMail All

Intel Advisor Group

Intel Advisor

1. saketepe
2. Anojan Sothilingam

Presentation Schedule

Team Name	Date and Time
Hung Hing: Intel Parallel Studio Inspector	November 27 6:35
All-nighters: Web Worker API	November 30 5:15
A-Team: Convolutional Neural Networks	November 30 5:35
Rinse Reduce: Apache Spark	November 30 5:55
Team BP: Intel Parallel Studio Inspector	November 30 6:15
VTune	November 30 6:35
Go Parallel	December 4 5:15
Team team: C++11 STL Comparison to TBB	December 4 5:35
Pancake: The Chapel Programming Language	December 4 5:55
Parallelogram: History of Parallel Computing	December 4 6:15
GPU Targeters: OpenMP Target	December 4 6:35
The AMD Bois: OpenACC vs OpenMP performance	December 7 5:15
Intel advisor group: Intel advisor	December 7 6:15