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Class
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Topic
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Reading
Some Appendices are located on the publisher's website
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Milestones
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Dynamic Branch Prediction
4/2, 4/4
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What this class is about
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Review of pipelining
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Section 3.1. If the review in lecture isn't jogging your memory, consult Appendix C.1-C.4.
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Branch prediction
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Appendix C, pp. 26-30; Sections 3.3 and 3.9, pp. 202-208
Project report guidelines,
and sample project report
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Memory Hierarchy
4/9
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Advanced caching techniques
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Section 2.2
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Execution Cores
4/11, 4/16, 4/18
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Superscalars and static scheduling
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Overview of dynamic scheduling
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Section 3.4 to p.170, Section 2.8
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Tomasulo's algorithm
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Section 3.4, p.170 to its end;
Section 3.5
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R10000-style dynamic scheduling (a physical register pool)
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The
Smith/Sohi article for superscalars in a nutshell.
In the R10000 article
read from register mapping,
p. 32, through Register files, p. 35.
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Prepare for the first midterm
4/23
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Discuss the midterm and cover any outstanding material.
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Midterm 1
4/25
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Exam is 1.5 hours
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Branch prediction homework due Friday, April 26, by midnight
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Multiprocessors
4/30, 5/2, 5/7, 5/9
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Overview of multiprocessing
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Section 5.1
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Cache coherency
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Section 5.2, Section 5.4
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Synchronization
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Section 5.5
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Wrap-up multiprocessing
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Consistency models
Brandon Myers, our TA
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Consistency Primer, pgs. 2-4, 17-27, 37-47
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Multithreading
5/14
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An Overview of Multithreading and Simultaneous Multithreading
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Section 3.5 and the SMT paper
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First coherency milestone due, Thursday, May 14, before class time.
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MP Scaling
5/16
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MP Scaling for graph algorithms
Jacob Nelson (CSE grad student)
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This paper,
"Cora: A Latency-Tolerant Runtime for Large-Scale Irregular Applications" is just FYI.
You're not responsible for reading it. This paper is currently under submission, so please don't distribute outside class.
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Data Parallelism
5/21
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GPUs, Derek Hower, AMD
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Section 4.1, 4.2, 4.4
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Combining ILP and TP
5/23, 5/28
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Dataflow Machines
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After reading them over, I don't think any of the papers on the
early dataflow machines are appropriate for classroom use. There
are no general overview papers. So just listen to the lecture.
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Wavescalar architecture and implementation
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Skim The WaveScalar Architecture and
An overview of the WaveScalar implementation.
Use this to reinforce what we discuss in lecture; don't pay much attention to any
new material covered in these papers.
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FPGAs
5/30
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FPGAs -- Silicon for Procrastinators, Andrew Putnam (Microsoft Research, formerly CSE Grad Student)
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This paper,
"Performance and Power of Cache-Based Reconfigurable Computing", is just FYI.
You're not responsible for reading it.
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The Wave of the Future
6/4
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Dark Silicon and the End of Multicore Scaling, Hadi Esmaeilzadeh (CSE Grad Student)
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This paper,
"Dark Silicon and the End of Multicore Scaling", is just FYI.
You're not responsible for reading it.
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Architectures for Approximate Computing, Adrian Sampson (CSE Grad Student)
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This paper,
Architecture Support for Disciplined Approximate Computing, is just FYI.
You're not responsible for reading it.
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Coherency homework due, Tuesday, June 4, before class.
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Midterm 2
6/6 10:30
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Exam is 2 hours
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