Power-Aware Computer Systems

Name: Power-Aware Computer Systems
Brand: Springer Nature
SKU: 9783540445722
Availability: InStock

Best Price (Coupon Required):
Buy Power-Aware Computer Systems for $36.00 at @ Link.springer.com when you apply the 10% OFF coupon at checkout.
Click “Get Coupon & Buy” to copy the code and unlock the deal.

Set a price drop alert to never miss an offer.

1 Offer Price Range: $39.99 - $39.99

BEST PRICE

Single Product Purchase

$36.00

@ Link.springer.com with extra coupon

Price Comparison

Seller	Contact Seller	List Price	On Sale	Shipping	Best Promo	Final Price	Volume Discount	Financing	Availability	Seller's Page
BEST PRICE 1 Product Purchase @ Link.springer.com		$39.99	$39.99		10% OFF This deals requires coupon	$36.00		See Site	In stock	Visit Store

Product Details

Brand

Springer Nature

Manufacturer

N/A

Part Number

GTIN

9783540445722

Condition

New

Product Description

The phenomenal increases in computer system performance in recent years have been accompanied by a commensurate increase in power and energy dissipation. The latter has directly resulted in demand for expensive packaging and cooling technology, an increase in product cost, and a decrease in product reliability in all segments of the computing market. Moreover, the higher power/energy dissipation has signi cantly reduced battery life in portable systems. While - stem designers have traditionally relied on circuit-level techniques to reduce - wer/energy, there is a growing need to address power/energy dissipation at all levels of the computer system. We are pleased to welcome you to the proceedings of the Power-Aware C- puter Systems (PACS 2000) workshop. PACS 2000 was the rst workshop in its series and its aim was to bring together experts from academia and industry to address power-/energy-awareness at all levels of computer systems. In these p- ceedings, we bring you several excellent research contributions spanning a wide spectrum of areas in power-aware systems, from application all the way to c- pilers and microarchitecture, and to power/performance estimating models and tools. We have grouped the contributions into the following speci c categories: (1) power-aware microarchitectural/circuit techniques, (2) application/compiler power optimizations, (3) exploiting opportunity for power optimization in - struction scheduling and cache memories, and (4) power/performance models and tools.

Available Colors

N/A

Available Sizes

N/A