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January 2012 |
Venue: Compucon House, 234 Bush Road, Albany
Programme
3:45pm Reception
4:00pm Seminar
6:00pm Wine and Cheese
Seminar Outline
o The seminar will start from a generic level and become more technical as it progresses. The first session is a theme Outside the Square. We will talk about the International Space Station that has been in orbit above the Earth with scientists on board since year 2000. We can see the Station with naked eyes as it is as big as a football field. (15 min)
o Professional leadership development is the 2nd theme of the day. We will talk about the 8 spokes of life, 4 quotients of people, and 2 sides of attitudes. We will point out that a modern society aims for a higher Maslow level of needs which seems very obvious. We will quote the views of Confucius on personal growth and how the first book of philosophy circa BC3000 was written on binary digits. No technical literacy is required, but mature professionals with plenty of life experience would appreciate the content more than young people. (15 min)
o Digital technology update is the 3rd theme of the day. We will talk about 3 iterations of the PC industry and 2 eras of cloud computing. We will review plans for smart phone to replace cinema tickets, Windows 8 supporting ARM CPU both for desktop and server versions, a retail chain getting rid of IT assets and going to the clouds, and investigate how good the clouds are for scientific applications. We will introduce the latest technology for sensing human gesture movements and do a brief demonstration. Professionals will benefits more than technicians. (20 min)
o A major digital technology application development will follow. Physical security is a parallel with cyber security, and physical systems are being digitized. We will explain how video works in conjunction with door access, how we address darkness with passive Infrared detectors and active Infrared illuminators, and explain how to obtain the best effect from a 180 degree indoor surveillance camera. Compucon has expertise in industrial grade physical security systems and the information has high practical values. (25 min)
o The final module is a review of the fastest and latest desktop computing as in Intel X79 chipset, visualisation as in Nvidia Quadro and super-computing technologies as in Nvidia Tesla. We will focus at the system hardware level and will not go into software. We will explain how GPU speeds up application performance a few hundred times, and introduce a highly cost-effective scheme for industrial design and video creation applications. This level of disclosure is the first and possibly the only one in New Zealand and the information will be valuable to practising IT professionals. Non IT people will benefit from an appraisal angle. (30 min)
END
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January 2012 |
Source: Microsoft
Retrieved: 23/01/2012
Last Updated: 11/07/2011
View/download:
SBS 2011 Licensing FAQ.pdf
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January 2012 |
The Adaptec Flash Module 600 (AFM 600) provides support for the Adaptec 6405, 6445, and 6805 RAID controllers.
Compatible Products:
- Adaptec RAID 6405
- Adaptec RAID 6445
- Adaptec RAID 6805
Return to previous page
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January 2012 |
Packaging of hard drives require extra care and attention. Please follow the guidelines below for proper packaging whenever drives are to be transported via courier or otherwise.
Hard disk drive manufacturers reserve the right to void warranty on drives damaged through neglect due to improper packaging.
In general, all drives require stable and sufficient packing material, needed to protect the product from ESD (Electro Static Discharge) influences and possible damage during transport. Do not use peanuts or packing material that can shift or settle during transit.
Sources:
http://support.wdc.com/warranty/rmapacking.asp
http://support.wdc.com/warranty/rmapics.asp?custtype=end&lang=en
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January 2012 |
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The fundamental base of Maximus is NVIDIA’s drivers. For Maximus NVIDIA needed to bring Quadro and Tesla together under a single driver, as they previously used separate drivers.
NVIDIA has used a shared code base for many years now, so Tesla and Quadro (and GeForce) were both forks of the same drivers, but those forks needed to be brought together. This is harder than it sounds as while Quadro drivers are rather straightforward – graphical rendering without all the performance shortcuts and with support for more esoteric features like external synchronization sources – Tesla has a number of unique optimizations, primarily the Tesla Compute Cluster driver, which moved Tesla out from under Windows’ control as a graphical device.
The issue with the forks had to be resolved, and the result was that NVIDIA was finally able to merge the codebase back into a single Quadro/Tesla driver
But this isn’t just about combining driver codebases. Making Tesla and Quadro work in a single workstation resolves the hardware issues but it leaves the software side untouched. For some time now CUDA developers have been able to select what device to send a compute task to in a system with multiple CUDA devices, but this is by definition an extra development step. Developers had to work in support for multiple CUDA devices, and in most cases needed to expose controls to the user so that users could make the final allocations. This works well enough in the hands of knowledgeable users, but NVIDIA’s CUDA strategy has always been about pushing CUDA farther and deeper in the world in order to make it more ubiquitous, and this means it always needs to become easier to use.
This brings us back to Optimus. With Optimus NVIDIA’s goal was to replace manual GPU muxing with a fully transparent system so that users never needed to take any extra steps to use a mobile GeForce GPU alongside Intel’s IGPs, or for that matter concern themselves with what GPU was being used. Optimus would – and did – take care of it all by sending lightweight workloads to the IGP while games and certain other significant workloads were sent to the NVIDIA GPU.
Maximus embodies a concept very similar to this, except with Maximus it’s about transparently allocating compute workloads to the appropriate GPU. With a unified driver base for Tesla and Quadro, NVIDIA’s drivers can present both devices to an application as usable CUDA devices. Maximus takes this to its logical conclusion by taking the initiative to direct compute workloads to the Tesla device; CUDA device allocation becomes a transparent operation to users and developers alike, just like GPU muxing under Optimus. Workloads can of course still be manually controlled, but at the end of the day NVIDIA wants developers to sit back and do nothing, and leave device allocation up to NVIDIA.
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