RIT Computer Engineering


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5 Visitors Since 13-March-2001


  Assignment #1, Due Tuesday, April 24:  PDF,   Word97
     (Files for question 9:    Master Program: psum.c,  Slave Program: spsum.c,   rand_data.txt)

  Assignment #2, Due Thursday, May 10:  PDF,   Word97


For the following lecture notes you can download or view a lecture as an Acrobat PDF file, or as a Microsoft Powerpoint97 file:

3-13-2K1 The Need and Feasibility of Parallel Computing, Technology Trends, Microprocessor Performance Attributes, Goal of Parallel Computing. Computing Elements, Programming Models, Flynn's Classification, Multiprocessors Vs. Multicomputers. Current Trends In Parallel Architectures, Communication Architecture.

3-15-2K1 Parallel Architectures Convergence: Naming, Operations, Ordering, Replication. Communication Cost with respect to various programming models, Communication Cost Model

3-20-2K1 Parallel Programs: Conditions of Parallelism. Asymptotic Notations for Algorithm Analysis, PRAM. Levels of Parallelism, Hardware Vs. Software Concurrency. Amdahl’s Law, DOP, Concurrency Profile. Steps in Creating Parallel Programs: Decomposition, Assignment, Orchestration, Mapping.

3-22-2K1 Parallelization of An Example Program: Ocean simulation Iterative equation solver.

3-27-2K1 Parallel Programming for Performance.

3-29-2K1 Message-Passing Programming: Parallel Virtual Machine (PVM).

4-5-2K1 Message-Passing Computing Examples: Image Transformations, Mandelbrot Set, Divide-and-conquer Problem Partitioning: Parallel Bucket Sort, Numerical Integration, Gravitational N-Body Problem. Pipelined Computation.

4-10-2K1 Synchronous Iteration: Barriers, Iterative Solution of Linear Equations. Dynamic Load Balancing: Centralized, Distributed, Moore's Shortest Path Algorithm.

4-12-2K1 Network Requirements For Parallel Computing. Static Point-to-point Connection Network Topologies. Network Embeddings. Dynamic Connection Networks.

4-17-2K1 Parallel System Performance: Evaluation & Scalability. Workload Selection. Parallel Performance Metrics Revisited. Application Models of Parallel Computers. Parallel System Scalability.

4-19-2K1 Shared Memory Multiprocessors. The Cache Coherence Problem. Memory Access Consistency Models. Cache Coherence Approaches. Snoopy Bus Protocols: Write-invalidate: MSI, MESI, Write-Update: Dragon.

4-26-2K1 Scalable Distributed Memory Machines. MPPs Scalability Issues: Node, Network, Communication Assist, OS, Cost. Message Processing Issues: Functionality of CA, Physical DMA, System-Level Vs. User-Level Ports. MPP Physical Scaling Examples: nCUBE/2, CM-5, IBM SP-2, iWARP, Intel Paragon.

5-3-2K1 Cache Coherence in Scalable Distributed Memory Machines: Hierarchical Snooping, Directory-based cache coherence.

5-10-2K1 Exam Review.


Tuesday and Thursday: 6:00-7:50 PM, 17/1555


Dr. Muhammad Shaaban
e-mail: meseec@osfmail.isc.rit.edu
Office: 17-2507 X2373

Office Hours:
My Spring 2001 schedule


Current:    http://www.rit.edu/~meseec/eecc756-spring2001/
Spring 2000: http://www.rit.edu/~meseec/eecc756-spring2000/
Spring 99: http://www.rit.edu/~meseec/eecc756-spring99/
Spring 98: http://www.rit.edu/~meseec/eecc756-spring98/
Spring 97: http://www.rit.edu/~meseec/eecc756/


This course covers a number of issues involved in the design and utilization of high performance parallel computing systems. This includes: parallel computer models, the concept of scalable performance, the memory hierarchy, cache coherence issues, parallel and scalable architectures, parallel programming concepts. A number of current parallel machines will be studied.


Computer Architecture EECC-551.



Parallel Computer Architecture: A Hardware/Software Approach, David E. Culler, Jaswinder P. Singh, Morgan Kaufmann Publishers, 1999.

Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers, Barry Wilkinson, Micheal Allen, Prentice Hall, 1998.  ISBN: 0-13-671710-1  Buy online from Amazon.com


Designing and Building Parallel Programs, Ian Foster, Addison-Wesley, 1995, complete textbook online.

PVM (Parallel Virtual Machine) Home Page

PVM: Parallel Virtual Machine: A Users' Guide and Tutorial for Networked Parallel Computing, Al Geist(Editor), et al, MIT Press, 1994, complete online version , PDF version , postscript version.

Advanced Tutorial on PVM 3.4 New Features and CapabilitiesAl Geist, Presented at EuroPVM-MPI'97, 1997.

Scalable Parallel Computing, Kai Hwang, Zhiwei, McGraw-Hill, 1998.

Advanced Computer Architecture: Parallelism, Scalability, Programmability, Kai Hwang, McGraw-Hill, 1993.

Selected papers.

EECC756 Spring 1999 Class Projects.


Participation and class presence: 5%
Homework assignments: 30%
Exam: 35%
Class project: 30%


Attending all lecture sessions is expected.


Week 1: Parallel Computer Models
Week 2: Program and Network Properties
Week 3: Principles of Scalable Performance
Week 4: Processor and Memory Hierarchy
Week 5: Bus, Cache, and Shared Memory
Week 6: Pipelining and Superscalar Techniques
Week 7: Multiprocessors and Multicomputers
Week 8: Multivector and SIMD Computers
Week 9: Software for Parallel Programming

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