Designing with hard power constraints
Designing with hard power constraints
By Juan Antonio Carballo, EE Times
January 15, 2004 (5:38 p.m. EST)
URL: http://www.eetimes.com/story/OEG20040115S0022
In high-performance 90-nanometer designs that are communications-intensive, power has become a hard constraint, and not just in battery-powered devices. High-performance computing chips, broadband processors and networking silicon simply cannot consume more than a certain amount of watts, given the packaging options and energy dissipation characteristics of the system in which they are embedded. Several trends are compounding this problem. First, leakage power has officially become a first-class component. It can easily exceed a third of total power even for high-activity designs. Although high-performance designs can tolerate more leakage than battery-powered designs, there is a point at which chip yield is leakage-limited. Second, increasing per-chip bandwidth requirements make the power problem more difficult, as communications tend to include large amounts of analog-type components and are often difficult to turn off. Finally, there is a trend toward consolidating design teams, and thus a need to cover an increasingly broad set of requirements (for example, communications standards), which can easily result in a single, energy-inefficient design. Logic and circuit optimization methods need to adapt to simultaneous speed- and power-constrained design. For practical reasons they must be smoothly integrated in an ASIC-style methodology, since even processor designs increasingly rely on synthesis-based methods. The 90-nm logic optimization loop has no choice but to tightly integrate power and timing loops. Fortunately, the logic optimization arsenal includes some powerful levers: Despite the move to higher abstraction levels, circuit design takes on a renewed importance as power increasingly depends on circuit and technology choices. Fortunately, some powerful circuit optimization methods are available: Juan Antonio Carballo is research staff member at IBM Research (Austin, Texas). See related chart
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