Abstract
• Parallelism need not be hard - much easier than traditional concurrent programming • Parallel programming, like programming, is a team effort that requires many different skills and many different tools - coarse-level parallelism for the masses, tuned libraries, refactoring tools, verification and tuning tools • Parallel architectures can scale if they take advantage of practical constraints on communication and synchronization in real prog rams.
| Original language | English (US) |
|---|---|
| Title of host publication | 2009 IEEE Hot Chips 21 Symposium, HCS 2009 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467388733 |
| DOIs | |
| State | Published - May 24 2016 |
| Event | 21st IEEE Hot Chips Symposium, HCS 2009 - Stanford, United States Duration: Aug 23 2009 → Aug 25 2009 |
Other
| Other | 21st IEEE Hot Chips Symposium, HCS 2009 |
|---|---|
| Country | United States |
| City | Stanford |
| Period | 8/23/09 → 8/25/09 |
ASJC Scopus subject areas
- Hardware and Architecture
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Cite this
Snir, M. (2016). Universal parallel computing research center at Illinois: Making parallel programming synonymous with programming. In 2009 IEEE Hot Chips 21 Symposium, HCS 2009 [7478357] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HOTCHIPS.2009.7478357