ANNOUNCEMENTS
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MIPS Goes Multithreaded Just about every type of racing has a formula. From sailing yachts to sports cars to powerboats, the formula for each league defines the basic parameters within which the competitors must work to achieve maximum performance. For race car engines, the formula might dictate maximum displacement, limits on turbocharger boost, fuel type and burn rate, even basic engine design. For yachts, it might contain parameters like maximum length, sail area, freeboard, mast height, draft, and headsail height. If anything changes about the formula, the nature of the optimal design might be dramatically altered. Although most designers don’t often consider it, there are different formulas for best overall system performance from embedded and stand-alone processors, too. Even though there’s no governing league making and changing the racing regulations, parameters like total system cost, power consumption, memory bandwidth, silicon area, and process profile rule the day when choosing a processor for your system design. The tradeoffs that make the best mix of performance on standalone processors can be completely different than those that give the best results in an embedded processor core. When MIPS designed their new 34K core, which was announced this week, they clearly knew they were working under the usually unspoken embedded core racing formula. In an embedded core, cranking up the clock frequency runs up system cost and power consumption for your entire device, not just the processor portion. Heavily pipelined, superscalar, and very-long-instruction-word (VLIW) architectures directly consume more logic and are difficult to optimize, particularly in embedded applications. Multi-core methods are already implemented by default, simply because you’re dealing with embedded processors, but the licensing fees for multiple cores can run up the system cost tab again. Many of these solutions that work well are not well suited for the embedded core environment. [more] |
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