Free counters!

Friday, May 27, 2011

Google Map updated 5.5 for android Improved Check-ins, Ratings and Latitude location history

Google offer a growing number of in-house developed apps for their Android smartphone platform and they know that we, as users, expect a solid experience. We mentioned the improvements that came to the recent update of Google Goggles and now it’s Maps’ turn, for the second time this month.

Google Maps version 5.5 rather than adding features, improves on its existing repertoire. For a start ‘check in’ and ‘rate and review’ buttons have appeared on any Places pages you might pull up. This basically gives you better integration of Latitude and its location logging, alongside quick review access, for when you want to make or break ‘that place you were just at’.
Other amendments include the ability to more easily change your work and home locations for when you want to track how much time you’ve spent at either from your location history. Finally (assuming you’re in one of the 440-odd cities covered by the application), Maps’ transit station pages have undergone a redesign to include upcoming scheduled departure times from various platforms and connecting lines information.

Download Google Maps 5.5 for Android here to try out the new check-in and rating buttons, update your Latitude Location History home/work address, check out a transit station in a nearby city, or just make sure you have the latest version of Google Maps for Android. This update requires an Android OS 1.6+ device anywhere Google Maps is currently available. Learn more in our help center.


Apple, Samsung in speaks over displays for iPad3

Apple’s acting CEO Tim Cook is on a visit in South Korea right now and some industry sources claim he has a really intriguing business there. According to the rumors, Cook is there to talk with Samsung about supplying AMOLEDs for their iGadgets.

Older rumors said Apple would be launching a new iPad (whether it’ll be an upgraded iPad 2 or entirely new iPad 3) later this year and those might as well use AMOLED screens.
It will be really good to see an iGadget, especially the iPad 3, with an AMOLED screen though currently Samsung don’t even have a tablet of their own with such a display and their latest AMOLED plant is not churning the precious screens at a sustainable rate.
Apple is already a major customer of Samsung for other electronic parts, but it is also suing them over some patent infringement, Samsung is suing Apple too, and now if the display negotiations are real – the whole thing could become a huge legal mess, worth billions of dollars. I guess we can do nothing but wait and see how the things turn out.


Google Inc. was sued by PayPal Inc because of Mobile Payment

Just this morning we reported on the rather jovial atmosphere at Google's big mobile payment announcement -- well, it looks like PayPal's prepared to bring an end to the celebration. According to Bloomberg, PayPal filed a suit against Google today in a California Superior Court, alleging that former PayPal executive, and one of this morning's MCs, Osama Bedier misappropriated the company's trade secrets. The suit further fingered Stephanie Tilenius, also formerly with PayPal, of violating the terms of her contract in recruiting Bedier. Though we've yet to get our hands on any clear details about which trade secrets PayPal's pointing to, we'd say the timing speaks volumes.

Netflix Android Application, expand for support three more phones

Netflix just got itself a little update in the Android Market. First and foremost, new phones are officially supported, with the LG Revolution, Motorola Droid and Casio G'zOne Commando getting access. That brings the total number of supported devices eight, including the Droid Incredible, Nexus One, EVO 4G, T-Mobile G2 and Samsung Nexus S.
There also are a few bugfixes, including:
  • Fixed application failure on startup when phone's embedded storage space is almost full.
  • Removed check that prevented attempt to playback on unsupported devices.
And we've noticed that the volume's not as low as it used to be, so that's nice, too. If you've got one of the supported phones, get your download on in the Android Market. We've got links after the break.


Microsoft Tablet OS will be shown Next Week

Microsoft Windows chief Steve Sinofsky will show Microsoft's upcoming tablet software at the AllThingsDigital D:9 conference next week, according to sources who spoke to Bloomberg (no link because its on the Bloomberg terminal).

We speculated that Sinofsky would show the tablet version of Windows 8 when his appearance was announced earlier this week, but Bloomberg has confirmed it with three separate sources, the report says.
The demo will show Windows 8 tablets running on hardware with an Nvidia Tegra chip. Microsoft OEM chief Steve Guggenheimer will also show similar demos at a show in Taiwan next week.
Microsoft has previously said that Windows is being ported to the ARM processors used in most smartphones and tablets and some screenshots of what look to be a new touch interface have leaked, but this will be the first official set of demos.
Earlier this week, Steve Ballmer said that Windows 8 would come out next year, but the company backtracked from that statement.


Philips's first Tablet PC exclusive exposure plan by June

It's rumored to be launching soon,
Supposedly hitting shelves in June.
Instead of picking Honeycomb,
Philips decided to go it on its own.
Underneath its skin you'll find Gingerbread,
We'd prefer an "entirely for tablet" OS instead.
There's a front facing camera for video chat
And a "drawing area" -- imagine that!
It's got a 7-inch screen and microSD,
As for price and processor it's wait and see.

New Bandwidth Management Techniques Boost Operating Efficiency In Multi-Core Chips

New Bandwidth Management Techniques Boost Operating Efficiency In Multi-Core Chips
For Immediate Release

Release Date: 05.25.2011
Filed under Releases

Researchers from North Carolina State University have developed two new techniques to help maximize the performance of multi-core computer chips by allowing them to retrieve data more efficiently, which boosts chip performance by 10 to 40 percent.

To do this, the new techniques allow multi-core chips to deal with two things more efficiently: allocating bandwidth and "prefetching" data.

Multi-core chips are supposed to make our computers run faster. Each core on a chip is its own central processing unit, or computer brain. However, there are things that can slow these cores. For example, each core needs to retrieve data from memory that is not stored on its chip. There is a limited pathway – or bandwidth – these cores can use to retrieve that off-chip data. As chips have incorporated more and more cores, the bandwidth has become increasingly congested – slowing down system performance.

One of the ways to expedite core performance is called prefetching. Each chip has its own small memory component, called a cache. In prefetching, the cache predicts what data a core will need in the future and retrieves that data from off-chip memory before the core needs it. Ideally, this improves the core's performance. But, if the cache's prediction is inaccurate, it unnecessarily clogs the bandwidth while retrieving the wrong data. This actually slows the chip's overall performance.

"The first technique relies on criteria we developed to determine how much bandwidth should be allotted to each core on a chip," says Dr. Yan Solihin, associate professor of electrical and computer engineering at NC State and co-author of a paper describing the research. Some cores require more off-chip data than others. The researchers use easily-collected data from the hardware counters on each chip to determine which cores need more bandwidth. "By better distributing the bandwidth to the appropriate cores, the criteria are able to maximize system performance," Solihin says.

"The second technique relies on a set of criteria we developed for determining when prefetching will boost performance and should be utilized," Solihin says, "as well as when prefetching would slow things down and should be avoided." These criteria also use data from each chip's hardware counters. The prefetching criteria would allow manufacturers to make multi-core chips that operate more efficiently, because each of the individual cores would automatically turn prefetching on or off as needed.

Utilizing both sets of criteria, the researchers were able to boost multi-core chip performance by 40 percent, compared to multi-core chips that do not prefetch data, and by 10 percent over multi-core chips that always prefetch data.

The paper, "Studying the Impact of Hardware Prefetching and Bandwidth Partitioning in Chip-Multiprocessors," will be presented June 9 at the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) in San Jose, Calif. The paper was co-authored by Dr. Fang Liu, a former Ph.D. student at NC State. The research was supported, in part, by the National Science Foundation.

NC State's Department of Electrical and Computer Engineering is part of the university's College of Engineering.


Note to Editors: The study abstract follows.

"Studying the Impact of Hardware Prefetching and Bandwidth Partitioning in Chip-Multiprocessors"

Authors: Fang Liu and Yan Solihin, North Carolina State University

Presented: June 9, 2011, at the International Conference on Measurement and Modeling of Computer Systems, San Jose, Calif.

Abstract: Modern high performance microprocessors widely employ hardware prefetching to hide long memory access latency. While useful, hardware prefetching tends to aggravate the bandwidth wall, a problem where system performance is increasingly limited by the availability of off-chip pin bandwidth in Chip Multi-Processors (CMPs). In this paper, we propose an analytical model-based study to investigate how hardware prefetching and memory bandwidth partitioning impact CMP system performance and how they interact. The model includes a composite prefetching metric that can help determine under which conditions prefetching can improve system performance, a bandwidth partitioning model that takes into account prefetching effects, and a derivation of the weighted speedup-optimum bandwidth partition sizes for different cores. Through model-driven case studies, we find several interesting observations that can be valuable for future CMP system design and optimization. We also explore simulation-based empirical evaluation to validate the observations and show that maximum system performance can be achieved by selective prefetching, guided by the composite prefetching metric, coupled with dynamic bandwidth partitioning.


Related Posts Plugin for WordPress, Blogger...
Twitter Delicious Facebook Digg Stumbleupon Favorites More