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1. Advanced Computer Architecture
Posted Date: 27 Mar 2008
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Posted By: sac Member Level: Diamond
Rating:  Points: 2
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1. Advanced Computer Architecture
Lectures : 4 hrs/week Theory : 100 Marks
Tutorials : 1 hr/week Term work : 25 Marks
Section – I
1. Introduction to Parallel Processing :
a. Introduction, architectural classification schemes.
b. Evolution of parallel processors, current & future trends towards parallel
processors.
c. Principles of pipelining and array processing.
d. Scalar and vector pipelines. (7)
2. Vector and pipelined processors :
a. Classification of pipelined processors, performance evaluation factors.
b. Vector processing concepts, pipelined vector processors, Cray type
vector processor -design example.
c. Array processors, an example of data routing in array processor. ( 4 )
3. Different parallel processing architectures:
a. Introduction to Associative memory processors, examples – STARAN.
b. Multithreaded arch –principles of multithreading, Latency hiding
techniques.
c. Scalable coherent multiprocessor model with distributed shared memory
( 6 )
4. Interconnection networks & Distributed Memory Architectures :
a. Various topologies, static and dynamic type of networks with examples.
b. Loosely coupled and tightly coupled architectures.
c. Cluster computing as an application of loosely coupled architecture.
Example –CM* ( 7 )
Section – II
5. Systolic Architectures :
a. Systolic arrays and their applications.
b. Wave front arrays. ( 3 )
6. Dataflow Architectures :
Concepts of data flow computing, static and dynamic dataflow
architectures.
Dataflow operators, data flow language properties, advantages &
potential problems. (6 )
B.E.(Comp. Science) Pg No.
Shivaji University, Kolhapur
4
7. Programmability Issues :
a. Types of parallelism.
b. Operating systems for parallel processing, Models of parallel operating
systems.
1. Master-slave configuration 2. Separate supervisor configuration 3.
Floating supervisor control.
c. Parallel programming models – shared memory, message passing, data
parallel, object oriented models.
d. Data dependency analysis - Bernstein’s condition. ( 7 )
8. Parallel Programming Languages :
a. Introduction to HPF (Fortran – 90), C-Linda.
b. Parallel algorithms - developing simple parallel programs using messagepassing
libraries like MPI. ( 5 )
Books :
1. Advanced computer architecture – Kai Hwang (MGH).
2. Computer Architecture and Parallel Processing – Kai Hwang and
Briggs (MGH).
3. Introduction to Parallel Processing – M. Sasikumar, Dinesh
Shikare and P. Ravi Prakash (PHI)
Term Work : It should consist of 8-10 assignments with emphasis on solving
exercise problems.
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