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PODC
2009
ACM

Memory models: a case for rethinking parallel languages and hardware

12 years 9 months ago
Memory models: a case for rethinking parallel languages and hardware
The era of parallel computing for the masses is here, but writing correct parallel programs remains far more difficult than writing sequential programs. Aside from a few domains, most parallel programs are written using a shared-memory approach. The memory model, which specifies the meaning of shared variables, is at the heart of this programming model. Unfortunately, it has involved a tradeoff between programmability and performance, and has arguably been one of the most challenging and contentious areas in both hardware architecture and programming language specification. Recent broad community-scale efforts have finally led to a convergence in this debate, with popular languages such as Java and C++ and most hardware vendors publishing compatible memory model specifications. Although this convergence is a dramatic improvement, it has exposed fundamental shortcomings in current popular languages and systems that prevent achieving the vision of structured and safe parallel progr...
Sarita V. Adve
Added 08 Mar 2010
Updated 08 Mar 2010
Type Conference
Year 2009
Where PODC
Authors Sarita V. Adve
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