It measures the number of flops floating operations per second and is used to rank the worlds most powerful supercomputers. Sep 08, 2014 the intel xeon e5 v3 haswell ep processors are here. Discussion in bugless started by bje1982, jun 28, 2010. Linpack benchmark is a technique to evaluate the floating point rate of execution of a pc. Linpack benchmark results roy longbottoms pc benchmark. Introduced by jack dongarra, they measure how fast a computer solves a dense n by n system of linear equations ax b, which is a common task in engineering. The description of mobile linpack linpack is the most popular benchmark for ranking of supercomputers and high performance systems by performance. You can compare the results with other devices in rankinglist. The best results will be achieved on expensive hpc software. Android benchmarks roy longbottoms benchmark collection. And with ber0tech results hpl benchmark 1 node 700mhz. Developed by qualcomm, it has evolved to include three primary. Linpack has been measuring and comparing the speeds of supercomputers for decades, so its only fitting for this particular computer program to be found on android and ios devices.
The 32bit program executable for a system based on intel xeon processor or intel xeon processor mp with or without intel streaming simd extensions 3 sse3. The linpack benchmark was introduced by jack dongarra. The floating point performance on these new processors is outstanding. Contribute to pedja1linpack development by creating an account on github. It was written in fortran by jack dongarra, jim bunch, cleve moler, and gilbert stewart, and was intended for use on supercomputers in the 1970s and early 1980s. Linpack benchmarks the linpack library has been used extensively in the computing industry as a performance benchmark, and results have been tabulated for a very large number of computers in a report that is updated approximately twice a year. The linpack benchmark was produced from the linpack package of linear algebra routines. The package solves linear systems whose matrices are general, banded, symmetric indefinite, symmetric positive definite, triangular, and tridiagonal square.
Matrix size threads used device cpu type cpu cores cpu clock speed ram size. Jack dongarra formulated the linpack system when he aimed at giving computer users a standard measure of computer performance. Apr 29, 2016 occt is a system stability testing tool designed for the windows operating system. Hpc challenge hpc challenge benchmark consists of 7 tests. Linpack uses columnoriented algorithms to increase efficiency by preserving locality of reference. For some reason, we would get the same performance with 1 node. Most recently, with the rapid development in deep learning, a number of neural network packages like nnpack become popular. This technique applies a standard mathematical algorithm based on solving simultaneous linear equations. The linpack benchmark report appeared first in 1979 as an appendix to the linpack users manual linpack was designed to help users estimate the time required by their systems to solve a problem using the linpack package, by extrapolating the performance results obtained by 23 different computers solving a matrix problem of size 100 this matrix size was chosen due to memory and cpu.
We run a linpack benchmark on a dual xeon e52687w v3 system and show how it stacks up against several processors. Evaluating the performance of androidbased devices is serious business. I look forward to more results and more smart people talking about it as the iphone 5 is further benchmarked. Linpack was designed for supercomputers in use in the 1970s and early 1980s.
Unfortunately, there are over fifty different mobile benchmarks to choose from, and picking the best ones is not easy. The software environment is intel composer, intel mpi and intel mkl. We suspect web browsing will be one of the primary jobs of the galaxy tab 3 7. For rmax shown in the table, the parallel efficiency per cpu has been computed using the performance achieved by hpl on 1 cpu. Jan 11, 2018 standard linpack benchmark app the linpack benchmarks are a measure of a systems floating point computing power. How to run hpl linpack across nodes guide slothparadise. Any work performed or produced as a result of use of the materials cannot be performed or produced for. With the top level lapack linking to it, these linear algebra operations svd, qr, lu, leastsquares, inverse, etc can be implemented on android with high performance. One of the key factors in getting good test results is knowing that the tools are measuring the right thing. To distribute the calculation, we use a linpack implementation based on a mpi library. In addition to monitoring voltages, temperatures and fan speeds of the various components in your system, it can also be used for bench marking the power supplies, gpu, and cpu. How to build openblas for android xianyiopenblas wiki. Aside from the linpack benchmark suite, the top500 43, and the hpl 48 code are presented.
Android results r1 an r2 are via via remix for intel pcs, running at 64 bits. How to run intel optimized mp linpack benchmark on knl platform. Weve been working on a benchmark called hpl also known as high performance linpack on our cluster. It solves a dense real8 system of linear equations axb, measures the amount of time it takes to factor and solve the system, converts that time into a performance rate and tests the results for accuracy. Vlc media player is a free and open source crossplatform multimedia player that plays most multimedia files as well as discs, devices, and. Top500 list of the most powerful supercomputers in the world is based on the linpack results. A detailed description as well as a list of performance results on a wide variety of machines is available in postscript form from netlib. Mobile linpack is also a popular benchmark app that tests smartphones and supercomputers. Information is also given on how to interpret results of the benchmark and how the results. For completion, numeric results and a sample of performance are provided for a double precision compilation. Roy longbottoms pc benchmark collection linpack benchmark results on pcs. Although there is strong evidence that higher benchmark scores do not always translate into realworld performance gains, the best benchmarks do serve a purpose.
See how well your multicore device works under android. Ridiculous iphone 5 cpu benchmarks linpack macrumors. Linpack click here to see the number of accesses to this library linpack is a collection of fortran subroutines that analyze and solve linear equations and linear leastsquares problems. That version is located at the linpack benchmarks are a measure of a systems floating point computing power. Subject to all of the terms and conditions of this agreement, intel grants to you a nonexclusive, nonassignable license to modify the materials, or any. At first, we had difficulty improving hpl performance across nodes. The linpack for android application is a version created from the original java version of linpack created by jack dongarra. The guy at found a similarly impressive number for linpack, though not quite as high. Sep 21, 2012 the guy at found a similarly impressive number for linpack, though not quite as high. The conventional linear algebra libraries are implemented in layers. At some point in time, a java version of the linpack benchmark rearranged the order of initial data function matgen and this changed the numeric results.
See below sections on how to build with clang for armv7 and armv8 targets. I would love to hear about some background stories of some of the current top500 systems and how they did their linpack benchmark. We show you how to conduct testing in a way that produces consistent, repeatable results. These results are shown below and are the same on android, linux and windows. Here you can download the latest version of the linpack report. Intel linpack benchmark download license agreement. General idea of linpack benchmark is to measure the number of floating point operations per second flops used to. Linpack benchmark results on pcs and later devices roy longbottom. If distributed computing solutions get deployed on mobile systems, it will be important that they can run alongside the android system and not interfere with the devices primary function. Linpack for android is a quick and easytorun benchmark that measures how fast an android device can solve a dense n by n system of. Contents of the intel optimized linpack benchmark intel. In that case, the vendor like ansys will ask intel engineers to do the heavy lifting.
I deliberately dont want to mention concrete hardware details or discuss hardware recommendations because i dont want to limit the answers. Although there is strong evidence that higher benchmark scores do not. Linpack for android measures the cpus computation speed. Frequently asked questions top500 supercomputer sites. Streamline your investments by targeting on addedvalue market segment note. The linpack benchmark report appeared first in 1979 as an appendix to the linpack users manual linpack was designed to help users estimate the time required by their systems to solve a problem using the linpack package, by extrapolating the performance results obtained by 23 different computers solving a matrix problem of size 100. Matrix size threads used device cpu type cpu cores cpu clock speed. Pcmark for android this benchmark measures the performance and battery life of an android device browsing the web, editing photos, watching videos and working with documents. Occt is a system stability testing tool designed for the windows operating system. The latter is frequently used to obtained results for top500 submissions. Linpack has been largely superceded by lapack, which has been designed to run efficiently on sharedmemory, vector supercomputers. The linpack for android application is a version created from the original java version of linpack created by jack.
Introduced by jack dongarra, they measure how fast a computer solves. The interfaces for these two layer libraries are standardized back in 1990s, and the hardware vendors will usually provide various customized implementations for their architectures. That is fair, since the cxml matrix multiply routine was achieving at best 1. How to get the best linpack result and conquer the top500. Or maybe it is as you suggest and potentially not a meaningful comparison.
As we have show before, this version of linpack performs best on both amd and intel platforms when the matrix size is low. Linpack for android is a free and awesome tools app. Dual booting results include those for windows and android running on the same system. Linpack reference jack dongarra, performance of various computers using standard linear algebra software in a fortran environment from here pdf file including numerous results for minicomputers, workstations, mainframes and supercomputers. It became the primary benchmark for scientific applications from the mid. The results for this benchmark can be found in table 1 second column under linpack benchmark n 100 of the linpack benchmark report. This pack is the sales standard template but enriched with key sales advanced analytics such as.
Newly added the ability to fully test multicore processors with the use of multithreading. Dec 31, 2014 the linpack for android application is a version created from the original java version of linpack created by jack dongarra. General idea of linpack benchmark is to measure the number of floating point operations per second flops used to solve the system of linear equations. Linpack for android is a quick and easytorun benchmark that measures how fast an android device. Vellamo is an accurate, easytouse suite of systemlevel benchmarking tools for. The second benchmark is for a matrix of size and can be found in table 1 of the benchmark report. Standard linpack benchmark app the linpack benchmarks are a measure of a systems floating point computing power. They are dual, boot a5 and w2, alternative boot w1. These can be compared with the new windows tablet version, from later compiler, with 32 bit and 64 bit results included below. Rfm analysis, customer lifetime value, churn rate, pricevolumemix analysis. Linpack is a software library for performing numerical linear algebra on digital computers. While many of the benchmark apps target the ndk, a few stick to. Under the hood they are linear algebra library with. Ridiculous iphone 5 cpu benchmarks linpack macrumors forums.
Running linpack benchmarks on linux on power alexander bokovoy dr. Real applications are used, so the results are supposed to reflect realworld performance. Linpack is the most popular benchmark for ranking of supercomputers and high performance systems by performance. Engage more customers by understanding market behavior. They are not subjective and can expose differences in hardware performance. Pdf linpack benchmark results on pcs and later devices roy. Linear algebra package lapack is built on top of blas. Android benchmarks for 32 bit and 64 bit cpus from arm, intel. It has been largely superseded by lapack, which runs more efficiently on modern architectures. How to build openblas for android xianyiopenblas wiki github. Subject to all of the terms and conditions of this agreement, intel corporation intel grants to you a nonexclusive, nonassignable, license to use the materials.
Pdf contains results of benchmarks via dos, os2, windows, pc linux, android and raspberry pi linux find, read and cite all the research. Basic linear algebra subprogram blas is in the bottom layer. Primary job terminated normally, but 1 process returned a nonzero exit code. The intel xeon e5 v3 haswell ep processors are here. Before i use intel optimized mp linpack benchmark for clusters, i have used hpl 2. Bramble hpl highperformance linpack benchmark results. Most recent android ndks stopped supporting gcc, so you would need to use clang to compile openblas. Pdf linpack benchmark results on pcs and later devices.
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