Course Schedule
Week
Date
Subject
Chapter
Assignment
Due Date
1st
6/28Mon
Parallel Computers
Ch.1
Team-up & Select a problem set
6/30Wed
Message Passing Computing
Ch.2
HW#1
2nd
7/5Mon
* Cray T3E Education
7/6Tue
* Cray T3E Education
7/7Wed
* Cray T3E Education
3rd
7/12Mon
Dist.Memory Prog. : PVM
*
Parallel Processing for Linear Recurrence
HW#1
(
Best HW#1
)
Presentation
7/14Wed
Dist.Memory Prog. : MPI
*
[Sabot] Ch.5 Dynamic Tree Searching
*
[Text] Ch.9 Sorting Algorithms
HW#2
Presentation
4th
7/19Mon
Partitioning & Divide-and-Conquer
* Multiple Linear Regression
Ch.3-4
Presentation
7/21Wed
Distributed Memory Programming : HPF
*
Midterm
(
Best Midterm
)
5th
7/26Mon
Shared Memory Programming : OpenMP
*
MPI : Communicators and Topologies
*
MPI : Advanced Point-to-Point Communications
7/28Wed
*
BSP (Bulk Synchronous Parallel) Model
*
Orca Parallel Programming Language
*
Linda Programming Language
*
MPI-2 : Process Creation and management
*
MPI-2 : One-Sided Communications
HW#2
(
Best HW#2
)
6th
8/2Mon
*
MPI-2 : Extended Collective Operations
*
MPI-2 : Extended Interfaces
*
MPI-2 : I/O
*
MPI-2 : Language Bindings
HW#3
8/4Wed
Shared Memory Programming : OpenMP
Numerical Method
7th
8/9Mon
Shared Memory Prog. : Pthreads
Performance of Shared Memory Parallel Programming
Ch.8
8/11Wed
Pthreads: Examples
HW#3
(
Best HW#3
)
8th
8/16Mon
* No Class
8/18Wed
*
Final Exam
Project Due, 8/20
* Special Education on Cray T3E from Supercomputer Center
7/5 (Mon)
1000-1100
T3E Parallel Computer Environment
(±èÁ¤È£)
1100-1200
ÇÁ·Î±×·¥ÄÄÆÄÀϰú ½ÇÇà, NQE »ç¿ë¹ý
(±èÁ¤È£)
1330-1500
Concept of Parallel Programming
(°°æ¿ì)
1500-1630
T3E Tools, Debugger
(È«Á¤¿ì)
7/6 (Tue)
1000-1200
MPI Concept ¹× ÀÌ·Ð
(À̺¸¼º)
7/7 (Wed)
1000-1200
Single PE Optimization
(°ûÈ£»ó)
* Term project team & reports
Parallel Processing for Linear Recurrence (by nso, toreit)
Introduction and Problem Description
Final Report
[Sabot] Ch.5 Dynamic Tree Searching (by dhson, nausica, kkamo)
Introduction and Problem Description
Final Report
[Text] Ch.9 Sorting Algorithms (by smmoh, god4u, niklaus)
Introduction and Problem Description
Final Report
Multiple Linear Regression (by hall00, sijun, gaialee)
Final Report