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In "A Bridging Model for Parallel Computation" (1990), he introduced the bulk synchronous parallel (BSP) model, in which individual processors communicate with each other only after finishing their computations.
The point at which the benefits from adding more processors vanish depends on how the individual processors are interconnected and on the type of problem they are seeking to solve.This explains why parallel processors are often used for specific applications.
An instruction level power model for individual processors was first proposed by Tiwari et al. [22].
The speed of the individual processors will never be significantly faster than they are today.
Multiprocessor configuration provides an opportunity for energy savings through a careful and selective management of individual processors.
Pieces of the problem are then distributed to the individual processors and computed, and the answer is assembled from the pieces.
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We computed the energy of individual processor components using the common formula Energy=Power×Cycles/Frequency.
The combination of these reductions has an effect on the power of individual processor components and results in energy reduction.
After performing gate-level simulation on all our benchmarks, architectures, and optimization combinations as described in Section 5, we collected power data for individual processor components.
To solve systems with trillions (O(1012)) unknowns the code has to make efficient use of several million individual processor cores on large GPU clusters.
On the CELL platform, our MSG library fitted in the 256 KB local memory on each individual processor core and outperformed two existing communication libraries, DaCS and CML.
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