I have done GPU Programming, when i was at CDAC. the performance of ISRO GPU based Super Computer is only theoretical. I asked Dr V C V Rao, when i was at CDAC, about the performance of GPU based on current CPUs and the hardware support. He said to me what GPUs do, they create a number of internal parallel threads to solve the calculation and give the response immediately. But still their performance is hampered by speed of internetwork, the CPUs dividing the job and the type of job to be divided. The real test of the performance of a Super Computer can done by following the LINPACK benchmark test. Lets see how much performance this super computer gives on this benchmark. Dammn the fastest of India is at 47th rank.(God it was on 11th rank when i saw it last time). what is happening to this world, everybody are making supercomputers. Well why Government of India cares, they don't need Supercomputer, as they don't have any use of it.
On Sun, May 8, 2011 at 11:08 PM, Niyaz <[email protected]> wrote: > > > -----Original Message----- > From: A. Mani <[email protected]> > Sent: Sunday, May 08, 2011 20:29 > To: [email protected]; [email protected] > Subject: [ilugd] KGPU > > From http://code.google.com/p/kgpu/ > > KGPU is a GPU computing framework for the Linux kernel. It allows > Linux kernel to call CUDA programs running on GPUs directly. The > motivation is to augment operating systems with GPUs so that not only > userspace applications but also the operating system itself can > benefit from GPU acceleration. It can also free the CPU from some > computation intensive work by enabling the GPU as an extra computing > device. > > Modern GPUs can be used for more than just graphics processing; they > can run general-purpose programs as well. While not well-suited to all > types of programs, they excel on code that can make use of their high > degree of parallelism. Most uses of so-called ``General Purpose GPU'' > (GPGPU) computation have been outside the realm of systems software. > However, recent work on software routers and encrypted network > connections has given examples of how GPGPUs can be applied to tasks > more traditionally within the realm of operating systems. These uses > are only scratching the surface. Other examples of system-level tasks > that can take advantage of GPUs include general cryptography, pattern > matching, program analysis, and acceleration of basic commonly-used > algorithms; we give more details in our whitepaper. These tasks have > applications on the desktop, on the server, and in the datacenter. > > The current KGPU release includes a demo of GPU augmentation: a > GPU-accelerated AES cipher, which can be used in conjunction with the > eCryptfs encrypted filesystem. This enables read/write bandwidths for > an ecrypted filesystem that can reach a factor of 3x ~ 4x improvement > over an optimized CPU implementation (using a GTX 480 GPU). > > KGPU is a project of the Flux Research Group at the University of > Utah. It is supported by NVIDIA through a graduate fellowship awarded > to Weibin Sun. > More > > We have a short whitepaper describing the motivation and design of KGPU. > > The idea behind KGPU is to treat the GPU as a computing co-processor > for the operating system, enabling data-parallel computation inside > the Linux kernel. This allows us to use SIMD (or SIMT in CUDA) style > code to accelerate Linux kernel functionality, and to bring new > functionality formerly considered too compute intensive into the > kernel. Simply put, KGPU enables vector computing for the kernel. > > It makes the Linux kernel really parallelized: it is not only > processing multiple requests concurrently, but can also partition a > single large requested computation into tiles and spread them across > the large number of cores on a GPU. > > KGPU is not an OS running on GPU; this is practically impossible > because of the limited functionality of current GPUs. > > > _____________________________________________________________________________________________ > > > > > Best > > A. Mani > > > > -- > A. Mani > ASL, CLC, AMS, CMS > http://www.logicamani.co.cc > > _______________________________________________ > Ilugd mailing list > [email protected] > http://frodo.hserus.net/mailman/listinfo/ilugd > > > > Thank you mr Mani for sharing the information. I read a few days back about > a GPUs based super computer developed in our country. > Can we expect GPUs replacing CPUs in future? > > Regards, > Niyaz > > _______________________________________________ > Ilugd mailing list > [email protected] > http://frodo.hserus.net/mailman/listinfo/ilugd > -- VIDYA BHUSHAN SINGH _______________________________________________ Ilugd mailing list [email protected] http://frodo.hserus.net/mailman/listinfo/ilugd
