Dongarra, J. 1998. Performance of various computers using standard linear equations software. Report CS-89-85, Department of Computer Science, University of Tennessee,TN. Home/Search Document Details and Download
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....source code was linked with the Solaris thread library and was compiled using Sun s C Compiler Version 4. 0, with options: xtarget=ultra xarch=v8plus xcache=16 32 1:4096 64 1 O5 75 For a comparison of how this platform performs in relation to other platforms see the Linpack Benchmark Report [Dongarra,92] An updated version of the report can be found at http: www.netlib.org benchmark performance.ps. It should be noted that although the test bed had fourteen processors, we conducted experiments with at most twelve active threads. This is because we did not have access to all the processors of ....
Dongarra, J.J.: Performance of various computers using standard linear equation software, Computer Architecture News, pages 22-44, 1992.
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....of memory operations to computation is high in this kernel, making it unfavorable for our algorithms. The overhead due to irregular memory access patterns would decrease with more computation in the loop. All experiments reported in this section were done on a Sparcstation 2, for which Dongarra [3] reports a 100 # 100 double precision LINPACK performance of 4.0 Mflops. We measured 3.3 Mflops. A repetition of the experiments on a single processor of an iPSC 860 18 showed similar characteristics. We used the GNUC compiler, with optimization at the O2 level. A higher optimization level ....
J. J. Dongarra. Performance of various computers using standard linear equations software. Computer Architecture News, 20(3):22--44, June 1992.
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....systems, the most famous of them is the LINPACK benchmark, which involves solving a system of linear equations. It is used by most manufacturers to compare different systems and to advertise their products. The world TOP500 ranking [1] is based on the LINPACK benchmark. Prof. Jack Dongarra [2] of the University of Tennessee, the author of LINPACK, has pointed out that benchmark programs reflect only one small problem area and should not be used to judge the overall performance of a computer system. Therefore, it is important This material may not be published, modified or otherwise ....
Jack J. Dongarra, "Performance of Various Computers Using Standard Linear Equations Software", University of Tennessee, CS-89-85, April 11, 1999
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J. J. Dongarra. Performance of various computers using standard linear equations software. Technical Report CS-89-85, University of Tennessee, Department of Computer Science, 1989.
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J. J. Dongarra. Performance of various computers using standard linear equations software. Technical report, Computer Science Department, University of Tennessee, 1998.
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....curve, the ratio between the dual and single processor implementations of the same library are given. 6. 5 Impact One easily measurable impact of the described approach can be summarized by looking at its e ect on the performance attained by the Massively Parallel LINPACK Benchmark (MP LINPACK) [10]. The LINPACK benchmark measures the performance attained by a given architecture when solving a linear system of equations in 64 bit arithmetic via an LU factorization with partial pivoting. Highperformance implementations cast the LU factorization in terms of matrix multiplication [9] The HPL ....
J.J. Dongarra. Performance of various computers using standard linear equations software, (LINPACK benchmark report). University of Tennessee Computer Science Technical Report CS-89-85, Oct. 2002.
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....375 62.5 MHz, DECstation 5000 240, PC486 33, HP735 125 MHz 256 MB memory. Table 7 shows benchmark values of SPECint95 and Mflop s. The values of SPECint95 are taken from the WWW site of SPEC (Standard Performance Evaluation Corporation) and Mflop s are the values of LINPACK benchmark in [9]. Based on these, we give rough estimates on machine speeds in the column estimate , where the speed of Sun Ultra 2 is normalized to one, and a larger value means that the computer is faster. The results of CNS and CFT in Table 6 are exhibited estimating their time limits according to Table 7. ....
J.J. Dongarra, "Performance of Various Computers Using Standard Linear Equations Software, " Technical Report No. CS-89--85, Computer Science Department, University of Tennessee, July 1999 (available as http://www.netlib.org/benchmark/performance.ps).
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....systems. In contrast to performance modelling, which requires an abstracted, analytical characterisation of the load, performance measurements (and some simulation based approaches) require the generation of executable, synthetic workloads. Standardised benchmarks (including for example LINPACK [6] or the NAS kernels [1] are often used for quoting the peak performance of parallel architectures. From the standpoint of the person engaged in the performance evaluation activity, the use of a 4 standard benchmark program suffers from one significant limitation the lack of control over the ....
J. J. Dongarra. Performance of Various Computers Using Standard Linear Equations Software. Technical Report CS-89-85, UniversityofTennessee and Oak Ridge National Laboratory,November 1995.
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....and benchmark values of SPECint95, SPECfp95 and Mflop s, respectively. The values of SPECint95 and SPECfp95 are taken from the WWW site of SPEC (Standard Performance Evaluation Corporation) except for the data of SPECfp95 of Dell XPS D300, which is in [24] and Mflop s are taken from [6]. In the table, the row TS run shows the inverse of the average computational time needed for algorithm TS to obtain prespecified target solutions, where the time for Sun Ultra 2 is normalized as one. For comparison purposes, we also show the data for Gateway GP6 350 (Pentium II, 350MHz) From ....
J.J. Dongarra, "Performance of Various Computers Using Standard Linear Equations Software," Technical report: Computer Science Department, University of Tennessee, Knoxville, TN 37996-1301, and Mathematical Sciences Section, Oak Ridge National Laboratory, Oak Ridge, TN 37831, 1999 (available as http://www.netlib.org/benchmark/performance.ps).
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Dongarra, J. 1998. Performance of various computers using standard linear equations software. Report CS-89-85, Department of Computer Science, University of Tennessee,TN.
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