About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Publication
ICS 2007
Conference paper
Harnessing massive parallelism in the era of parallelism for the masses
Abstract
As we embrace this new era of multicore and heterogeneous processors, we find ourselves ill-equipped to leverage the full potential of increasing parallelism. There are no widely-adopted parallel programming languages. With massive datasets, the growing importance of sensor-based systems, and increasingly large data models the I/O wall is looking more daunting than the memory wall. Current high-end software technology is not easily used by non-sophisticated developers. Copyright 2007 ACM.