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Fallacies of the Multiprocessor Approach to Achieving Large Scale Computing Capabilities: A Case Stu
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bacon, David F. |
| Copyright Year | 1995 |
| Abstract | The hype accompanying the headlong rush towards massively parallel supercomputing has been accompanied by numerous \real world" studies showing how real applications can be dramatically sped up on machines with thousands of processors achieving hundreds of giga ops. We worked for a year with a group of astrophysicists to vectorize and parallelize their x-ray pulsar simulation with the understanding that in return for their investment of time we would give them an improved version of the code that they could maintain and develop independently. We found that current optimizing compiler technology is greatly limited in its e ectiveness by the narrow scope across which optimizations can usually be performed. We also found that when an application is \scaled up" to t on a massively parallel machine, the axis along which it is scaled may not be appropriate to the requirements of the users. This leads us to an interesting generalization of Amdahl's Law, and a better understanding of application scalability. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://researchweb.watson.ibm.com/people/d/dfb/papers/Bacon95MS.pdf |
| Alternate Webpage(s) | http://www.research.ibm.com/people/d/dfb/papers/Bacon95MS.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
