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ACM Transactions on Computer Systems (TOCS), Volume 32 Issue 3, September 2014

Scaling Performance via Self-Tuning Approximation for Graphics Engines
Mehrzad Samadi, Janghaeng Lee, D. Anoushe Jamshidi, Scott Mahlke, Amir Hormati
Article No.: 7
DOI: 10.1145/2631913

Approximate computing, where computation accuracy is traded off for better performance or higher data throughput, is one solution that can help data processing keep pace with the current and growing abundance of information. For particular...

Energy Analysis of Hardware and Software Range Partitioning
Lisa Wu, Orestis Polychroniou, Raymond J. Barker, Martha A. Kim, Kenneth A. Ross
Article No.: 8
DOI: 10.1145/2638550

Data partitioning is a critical operation for manipulating large datasets because it subdivides tasks into pieces that are more amenable to efficient processing. It is often the limiting factor in database performance and represents a significant...

Approximate Storage in Solid-State Memories
Adrian Sampson, Jacob Nelson, Karin Strauss, Luis Ceze
Article No.: 9
DOI: 10.1145/2644808

Memories today expose an all-or-nothing correctness model that incurs significant costs in performance, energy, area, and design complexity. But not all applications need high-precision storage for all of their data structures all of the time....