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Showing 1 to 5 of 5 for “"FGPA"”.
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High-performance matrix multiplication on Intel and FGPA platforms
Matrix multiplication is at the core of high-performance numerical computation. Software methods of accelerating matrix multiplication fall into two categories. One is based on calculation simplification. The other one is based on increasing the memory access efficiency. Also matrix multiplication …
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FPGA-Roofline: An Insightful Model for FGPA-based Hardware Acceleration in Modern Embedded Systems
The quick growth of embedded systems and their increasing computing power has made them suitable for a wider range of applications. Despite the increasing performance of modern embedded processors, they are outpaced by computational demands of the growing number of modern applications. This trend …
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An analysis of intervention programs and their effects upon the achievement of black graduates of predominantely white and black high schools
… and freshmen cumulative grade point average (FGPA). A two-way analysis of variance (ANOVA) was conducted for type of school graduated, predominantly black or white, and participation or non-participation in Intervention Programs. Also a Pearson product-moment correlation coefficient (Pearson …
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Design and Implementation of an RFI Direction Finding System for SKA Applications
… the Digital Signal Processing (DSP) done on the FGPA is received by a computer running a Python application which performs the final angle of arrival calculations in real time. The application has a mathematical model of the antenna array which it combines with the received baseline time …
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Vector processor virtualization: distributed memory hierarchy and simultaneous multithreading
Taking advantage of DLP (Data-Level Parallelism) is indispensable in most data streaming and multimedia applications. Several architectures have been proposed to improve both the performance and energy consumption for such applications. Superscalar and VLIW (Very Long Instruction Word) processors, …