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Keyword: Parallel ArchitectureFPGA Implementation of Ultra-High Speed and Configurable Architecture of Direct/Inverse Discrete Wavelet Packet Transform Using Shared Parallel FIR Filters
This work presents new pipeline-parallel, generic and configurable parallel hardware architectures for the Direct/Inverse Wavelet Packet Transform (DWPT/IDWPT) independent of any specific family of wavelets, implemented in FPGA technology using a parallel architecture of direct FIR filter. We propose in the following paper, new P-parallel structures for the DWPT and IDWPT transforms based on the…
Read MorePerformance Portability and Unified Profiling for Finite Element Methods on Parallel Systems
The currently available variety of modern, highly-parallel universal processors includes multi-core CPU and many-core GPU (Graphics Processing Units) from different vendors. Systems composed of such processors enable high-performance execution of demanding applications like numerical Finite Element Methods. However, today’s application pro- gramming for parallel systems lacks performance portability: the same program code cannot achieve stable…
Read MoreA Survey on Parallel Multicore Computing: Performance & Improvement
Multicore processor combines two or more independent cores onto one integrated circuit. Although it offers a good performance in terms of the execution time, there are still many metrics such as number of cores, power, memory and more that effect on multicore performance and reduce it. This paper gives an overview about the evolution of…
Read MoreA Novel Ultra High Speed and Configurable Discrete Wavelet Packet Transform Architecture
This work is dedicated to present a new pipeline-parallel architecture of Discrete Wavelet Packet Transform (DWPT) for all wavelet family implemented in FPGA technology. The main target of our architecture is to provide an effective performance trade-off, where it significantly increases the throughput with a restricted amount of hardware. In this article, we propose two…
Read MoreConfiguration/Infrastructure-aware testing of MapReduce programs
The implemented programs in the MapReduce processing model are focused in the analysis of large volume of data in a distributed and parallel architecture. This architecture is automatically managed by the framework, so the developer could be focused in the program functionality regardless of infrastructure failures or resource allocation. However, the infrastructure state can cause…
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