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Computing systems have a tremendous positive impact on everyday life, from the Internet to mobile devices. However, they are facing a once-in-a-generation technical challenge, as the relentless half-century increase in processor speed for improving performance has come to an end…
Data management systems enable various influential applications from high-performance online services (e.g., social networks like Twitter and Facebook or financial markets) to big data analytics (e.g., scientific exploration, sensor networks, business intelligence). As a result,…
Data management systems enable various influential applications from high-performance online services (e.g., social networks like Twitter and Facebook or financial markets) to big data analytics (e.g., scientific exploration, sensor networks, business intelligence). As a result,…
Part I. Implicit/vertical scalability. 2. Exploiting resources of a processor core -- 2.1 Instruction and data parallelism -- 2.2 Multithreading -- 2.3 Horizontal parallelism -- 2.3.1 Horizontal parallelism in advanced database scenarios -- 2.3.2 Conclusions. 3. Minimizing mem…
Recent progress in VLSI provides massive parallelism but general purpose parallel computers remain elusive due to limited communications performance. This book proposes a new high level approach to programming that addresses the pragmatic issue of how a computation is distribute…
La 4e de couv. porte :"High performance parallelism Pearls, volume 2, offers another set of examples that demonstrate how to leverage parallelism. Similar to volume 1, the techniques included here explain how to use processors and coprocessors with the same programming-illustrat…
