By Robert Todd Gregory
This monograph is meant essentially as a reference booklet for numerical analysts and others who're drawn to computational equipment for fixing difficulties in matrix algebra. it's renowned strong mathematical set of rules may possibly or will not be a superb computational set of rules. accordingly, what's wanted is a set of numerical examples with which to check every one set of rules once it's proposed. it truly is our wish that the matrices now we have gathered may help satisfy this need.
The try out matrices during this assortment have been acquired for the main half by means of looking out the present literature. although, 4 people who had all started collections in their personal contributed significantly to this attempt through offering loads of try out matrices at one time.
First, Joseph Elliott's Master's thesis  supplied a wide number of tridiagonal matrices. moment, Mrs. Susan Voigt, of the Naval send learn and improvement middle, contributed a diversified selection of matrices. 3rd, Professor Robert E. Greenwood, of The college of Texas at Austin, supplied a priceless checklist of references with his selection of matrices and determinants. ultimately, simply as this paintings was once nearing finishing touch, the gathering of Dr. Joan Westlake  was once came across. Her choice of forty-one try out matrices contained seven which we had ignored; for that reason, they have been extra.
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Extra info for A collection of matrices for testing computational algorithms
The list scheduling algorithm is only capable to schedule non-cyclic dependence graphs into non-iterative schedules. Iterative schedules are characterised by different values for latency and period: the latency is the time which is needed to process the dependence graph one time. If the dependence graph is invoked repetitively, a result is delivered after each period. With a good pipelined schedule, period can be significantly smaller than the latency thereby improving the throughput. The basic list scheduler had been extended such that iterative algorithms are planned with minimised period.
These numbers denote the speed-up of the tested machine compared with a reference machine. The SPECx95 reference machine is a Sun SparcStation10 (40MHz). 30 Chapter 2: Methodology Although it is possible to predict the execution time of a custom application through the use of SPEC results, it is preferable to measure the delivered performance directly at runtime. If an application (or function) specific delivered performance of the target machine is determined, Perfj(vi) represents the performance for a given function vj executed on the computational node vi.
2 Specification and Modelling 29 To keep our model as simple as possible, a fixed message length per communication node wi was assumed so that the latency and the bandwidth are independent of the message length. 1, with the following restriction: broadcast and collective communications (reduce) are always modelled with successive point-to-point links, with messages of a constant length wi. 2). Furthermore it was assumed that the communication of the previous function may always overlap the computation of the current function.