Performance for Direct Matrix Multiplication on SMP
Direct Exponent and Scalar Multiplication Classes of an MDS Matrix
... Serge Vaudenay suggested to use MDS matrices in cryptographic primitives to produce multi-permutations [2]. These functions have perfect diffusion i.e. for a change of t input bits out of m bits; at least m-t+1 of the ...
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A high performance matrix matrix multiplication methodology for CPU and GPU architectures
... the date of receipt and acceptance should be inserted later Abstract Current compilers cannot generate code that can compete with hand-tuned code in efficiency, even for a simple kernel like Matrix-Matrix ...
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High-performance matrix multiplication on Intel and FGPA platforms
... high-performance matrix multiplication algorithms and a relevant hardware acceleration ...accelerating matrix multiplication fall into two ...
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Performance Portable GPU Code Generation for Matrix Multiplication
... full performance potential is a job best left for ninja ...good performance resulting in non-portable solutions that need to be re-optimized for every new ...Achieving performance portability is the ...
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Performance of Scientific Processing in Networks of Workstations: Matrix Multiplication Example
... about performance under these circumstances seems to be ...The performance of such networks of workstations is fully analyzed by means of a simple application: matrix ...for matrix ...
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Optimizing Sparse Matrix-Matrix Multiplication for the GPU
... 1024 matrix. 4.1.2 Performance Table 10 outlines the performance for each phase of the ESC algorithm for a few representative ...interpolation matrix P found in algebraic multigrid ...
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EFFICIENT MATRIX MULTIPLICATION IN HADOOP
... In a typical MapReduce job, each map task processing one piece of the input file. If two input matrices are stored in separate HDFS files, one map task would not be able to access the two input matrices at the same time. ...
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Performance Prediction Based on Statistics of Sparse Matrix Vector Multiplication on GPUs
... the matrix structure completely, so the execu- tion time predicted by their model tends to be inaccurate for general sparse ...the performance prediction model more ...sparse matrix storage formats ...
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Classification and Performance Evaluation of Hybrid Dataflow Techniques With Respect to Matrix Multiplication
... To solve the problems of fine-grain dataflow, each subgraph that exhibits a low degree of parallelism can be identified within a dataflow graph and transformed into a sequential thread. By multithreaded dataflow we ...
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Performance Model for Parallel Matrix Multiplication with Dryad: Dataflow Graph Runtime
... a performance model for Dryad implementation of parallel matrix multiplication (PMM) and extend the model to MPI ...model performance of parallel matrix multiplication jobs on ...
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Matrix Multiplication on FPGA-Based Platform
... Performance Comparison Fig. 2. Performance comparison of codesign vs. purely software for n<100. Fig. 3. Performance comparison of codesign vs. purely software for n<2000. A significant observation ...
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Optimizing Matrix Multiplication Using Multithreading
... better performance with Pthreads ,which is an API for writing multithreaded applications to boost the performance of a ...the multiplication of two NxN matrices with a serial application and a ...
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Hypergraph Capacity with Applications to Matrix Multiplication
... requires converting the Lovász number as it is defined here to a fairly dif- ferent form where the proof is essentially transparent. Furthermore, this conversion process appears to make critical use of the multiple ...
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Optimizing matrix multiplication Amitabha Banerjee
... in performance on matrices of sizes of powers of ...In matrix multiplication a column of data multiplies a row of ...the matrix is stored in row- major format. When the matrix is of ...
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Sparse matrix-vector multiplication on GPGPUs
... sparse matrix in decreasing order of the number of nonzero elements; then, the rows are separated into blocks and each block is stored in the ELLPACK ...predict matrix-dependent tuning parameters, such as ...
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Group-theoretic Algorithms for Matrix Multiplication
... As in the previous case we identify G and H with the cor- responding subsets of G n H. Other than for Lemma 1.2, which is not required for the main results of this paper, we will use only the following basic facts from ...
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Parallel Implementation of Interval Matrix Multiplication
... interval matrix multiplication in particular, it would be worth developing an ATLAS- like autotuning of the blocked version in order to optimize the usage of all cache levels and not only of the cache of ...
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Performance Evaluation of FPGA Based Runtime Dynamic Partial Reconfiguration for Matrix Multiplication
... ASICs Multiplication and squaring functions are used extensively in applications such as DSP, image processing and ...product matrix contribute little to the final ...multiplier matrix introduces ...
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HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON
... High Performance Communication Scheme In addition to applying DAEMON to minimize DVFS overhead in distributed matrix multipli- cation for energy efficiency, we also aim to achieve performance efficiency ...
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High Performance Asynchronous Pipelined QDI Templates for DCT Matrix vector Multiplication
... Table 3. Comparison of PCFB and RSPCHB based design (Control and Datapath) with detailed Timing and energy Analysis The experimental results are described in Table 3. The first two columns for each design show the cycle ...
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