Future microprocessor chips will scale by adding new cores rather than increasing frequency. Programmers need an easier way of exploiting parallel processing than the current dominant parallel processing paradigms. As part of Intel’s collaboration with UC Berkeley and Microsoft at the Universal Parallel Computing Research Center in Berkeley, Calif., researchers are designing and building a new parallel language with two distinguishing features: deterministic execution and efficient use of high-performance parallel libraries and frameworks; resulting in easier, faster, and more cost-effective programming. For more on Deterministic Parallel Programming Language and other research, see the Intel Research Berkeley website.
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