Intel Corp. (www.intel.com) formally announced the release of its long-awaited Itanium 64-bit processor on May 29 - together with support from Windows hardware offerings from about 30 vendors, and some 400 applications already in development.
Key to adoption of 64-bit computing will be increased data size. For example, the initial Windows for Itanium offering has virtual memory of 16 terabytes (TB), compared to 4 Gbytes on 32-bit Windows; paging file size of 512 compared to 16 TB; paged pool of 128 Gbytes compared to 470 Mbytes; non-paged pool of 128 Gbytes compared to 256 Mbytes, and a system cache of 1 TB, compared to 1 Gbytes for the 32-bit version. The first Itanium chip, available in hardware that is shipping in June, is targeted to enterprise and technical applications-including mechanical computer-aided engineering analysis. A second, more powerful and flexible version will be released late in 2001.
Both Itanium and its Windows support were demonstrated at Microsoft's Silicon Valley campus in Mountain View, CA on May 22. Hewlett-Packard (www.hp.com), which helped to
design the Itanium architecture-Explicitly Parallel Intensive Computing (EPIC)-participated in the event and will release both a workstation (HP i2000) and server (HPrx4610) next month. Event participants that will soon debut application software running on Itanium platforms included UGS with Unigraphics 18 (www.ugs.com), Alias/Wavefront (www.aliaswavefront.com), MSC.Software (www.mscsoftware.com) for MSC.Marc, and SAS (www.sas.com).
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.