Software Transactional Memory for Graphics Card
dc.contributor.author | Chaudhry, Muhammad Tayyab | |
dc.contributor.department | Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers) | sv |
dc.contributor.department | Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers) | en |
dc.date.accessioned | 2019-07-03T12:17:40Z | |
dc.date.available | 2019-07-03T12:17:40Z | |
dc.date.issued | 2009 | |
dc.description.abstract | The introduction of CUDA, NVIDIA's system for general purpose computing on their many-core graphics processor system, and the general shift in the industry towards parallelism, has created a demand for ease of parallelization. Software transactional memory (STM) simplifies development of concurrent code by allowing the programmer to mark sections of code to be executed atomically. The STM will then guarantee that other processes will see either none or all of the writes done in in that section. In contrast to using locks, STM:s are easy to compose and does not suffer from deadlocks. An STM can thus be seen as a concurrency control mechanism. | |
dc.identifier.uri | https://hdl.handle.net/20.500.12380/117307 | |
dc.language.iso | eng | |
dc.setspec.uppsok | Technology | |
dc.subject | Programvaruteknik | |
dc.subject | Software Engineering | |
dc.title | Software Transactional Memory for Graphics Card | |
dc.type.degree | Examensarbete för masterexamen | sv |
dc.type.degree | Master Thesis | en |
dc.type.uppsok | H |
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