qertcaptain.blogg.se

Amd firestream 9370 benchmark
Amd firestream 9370 benchmark












amd firestream 9370 benchmark
  1. #Amd firestream 9370 benchmark mac os x
  2. #Amd firestream 9370 benchmark code
  3. #Amd firestream 9370 benchmark professional

Built on the 55 nm process, and based on the RV770 graphics processor, in its RV770 XT variant, the card supports DirectX 10.1.

#Amd firestream 9370 benchmark professional

Coming up in a matter of weeks will be the long-awaited many-core Calxeda ARM benchmarks premiering on Phoronix.The FireStream 9270 was a professional graphics card by AMD, launched on November 13th, 2008. If you are interested in maxing out ARM performance, see the Phoronix 12-core ARM cluster and then the 96-core ARMv7 solar-powered super-computer that was assembled out at MIT earlier this summer. Next up may be some fun with more low-cost ARM development boards, Piotr Luszczek is looking towards ARMv8/AArch64 with 64-bit "goodness", working on double-buffering and vectorization-friendly storage, and possibly using OpenGL ES with shaders or tapping into NVIDIA's CUDA to exploit more performance out of ARM hardware. The ARM Cortex-A9 had a performance/power efficiency of a factor of four while the AMD FireStream and NVIDIA Fermi GPUs had an efficiency of about 2.3x, the AMD Opteron at about 1x, and the Intel Xeon and Atom at about 0.75x. While losing badly on the raw performance, an ARM Cortex-A9 delivered the greatest performance-per-Watt that could beat out an AMD FireStream 9370, NVIDIA Fermi M2050, AMD Magny-Cours Opteron 6180SE, Intel Westmere Xeon E7-8870, and Intel Atom N570.

amd firestream 9370 benchmark

The other interesting slide were some numbers on various devices for their power and performance. It will still be a long, long time though before any tablet can be as fast as ASCI Red/White, Sequoia, or the modern Cray Jaguar that has held a LINPACK performance record. One interesting tid-bit is that it took Cray Research one decade to go from the Cray-1 to the Cray-2 while Apple went from the original iPad to the second-generation iPad in just two years with the increased performance. The latest iPad meanwhile is just a small performance bump over the iPad 2. Piotr Luszczek also found that the original iPad was about the speed of the original Cray-1 super-computer. The Cray-2 was originally the fastest super-computer in the world when it originally premiered. As the below chart shows, he found the iPad 2 to be as fast as the Cray 2 super-computer from the 1980s.

amd firestream 9370 benchmark

When benchmarking the Apple iPad 2, the University of Tennessee employee achieved 4 GFLOPS per Watt on the ARM SoC (measured at the chip level). A few ARM tweaks also got tossed into Atlas BLAS. After this, he was able to create an optimized algorithm by writing a Python script to generate various Assembly routines to test each one for the most efficient performance. Through a long process, Piotr Luszczek was able to learn more about the iPad hardware itself through nano and micro benchmarking.

amd firestream 9370 benchmark

However, this framework didn't really work and there is no ATLAS for the iPhone/iPod/iPad so he took things a lot further on his own.

#Amd firestream 9370 benchmark mac os x

The researcher mentioned that Apple introduced the Accelerate Framework to iOS4 and that they were to include an optimized ATLAS (Automatically Tuned Linear Algebra Software) library inside this iOS framework, just like with it shipping inside the Mac OS X framework. We use performance modeling to help with the limitation of the device and the limited access to device from the development environment not geared for HPC application tuningLuszczek has uploaded his slides to the UTK web-site, but what's interesting for the common Phoronix reader are just his Apple iPad 2 test results.

#Amd firestream 9370 benchmark code

We show a assembly API that allows us a much higher level of abstraction and provides rapid code development within the confines of mobile device SDK. We be believe our new algorithm presents an alternative to existing linear algebra parallelization techniques such as master-worker and DAG-based approaches. We use a novel formulation of a recursive LU factorization that is recursive and parallel at the global scope. We present a complete bottom-up implementation of an embedded LINPACK benchmark on iPad 2. The BoF presentation was entitled "Anatomy of a Globally Recursive Embedded LINPACK Benchmark." While at the IEEE High Performance Extreme Computing (HPEC) conference in Massachusetts this week, Piotr Luszczek who serves as the Research Director for the University of Tennessee was talking about the ARM landscape and embedded LINPACK benchmarking. With some work to to the software, the iPad 2 performance benchmark result is quite impressive. A university research director has shown that Apple's iPad 2 is as fast as the Cray-2 vector super-computer out of Cray Research from the 1980's.














Amd firestream 9370 benchmark