Andrew Putnam, Aaron Smith, and Doug Burger. Dynamic vectorization in the E2 dynamic multicore architecture. ACM SIGARCH Computer Architecture News, 38(4):27-32, Jan. 2010. DOI: 10.1145/1926367.1926373.Andrew Putnam , Aaron Smith , Doug Burger, Dynamic vectorization in the E2 dynamic multicore...
Combined with Kinetica’s lockless, distributed architecture, data is available for query immediately after it lands. Linear Scale Out With less to index, the database scales in proportion to the size of the data. This leads to a smaller and more predictable scale-out footprint. Less ...
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Vectorization in computer science refers to the strategy of utilizing pre-existing compiled kernels to perform operations all at once, instead of using loops for repeated operations. It helps in improving runtime performance significantly by executing operations more efficiently. ...
Optimizing matrix multiplication for a short-vector SIMD architecture – CELL processor Matrix multiplication is one of the most common numerical operations, especially in the area of dense linear algebra, where it forms the core of many impor... J Kurzak,W Alvaro,J Dongarra - 《Parallel Computin...
FIG. 1B illustrates a data processing system, in accordance with embodiments of the present disclosure; FIG. 1C illustrates other embodiments of a data processing system for performing text string comparison operations; FIG. 2 is a block diagram of the micro-architecture for a processor that may...
1. In a digital medium environment to enhance picture vectorization by facilitating conversion of raster images to vector images based on spatially-localized user control, a method implemented by a computing device, the method comprising: displaying, by the computing device, a raster image correspondin...
Comparison with the scalar version shows an overall gain in speed of the particle integration exceeding a factor of 10 for test calculations with N=4000 particles. Similar principles can readily be applied to more complicated codes including two-body regularization, although the net gain will be ...
However neither of them appear to answer the scenario I am in. I am a chemical engineer and not a computer scientist, and its quite possible that I just was not able to understand the documents. Any help or advice would greatly be appreciated. module mymod implicit none type cell_data ...
First, Compute Unified Device Architecture (CUDA) that can explore GPU's salient substantial concurrent threads, eases GPU-based parallel GPF analysis, as one no longer needs to rely on complicated graphic APIs such as OpenGL and DirectX [12]. Second, as will be exposed in Section III. B1 ...