programmable processors
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Author(s):  
Ibtissem Wali ◽  
◽  
Amina Kessentini ◽  
Mohamed Ali Ben Ayed ◽  
Nouri Masmoudi ◽  
...  

The programmable processors newest technologies, as for example the multicore Digital Signal Processors (DSP), offer a promising solution for overcoming the complexity of the real time video encoding application. In this paper, the SHVC video encoder was effectively implemented just on a single core among the eight cores of TMS320C6678 DSP for a Common Intermediate Format (CIF)input video sequence resolution(352x288). Performance optimization of the SHVC encoder had reached up 41% compared to its reference software enabling a real-time implementation of the SHVC encoder for CIF input videos sequence resolution. The proposed SHVC implementation was carried out on different quantization parameters (QP). Several experimental tests had proved our performance achievement for real-time encoding on TMS320C6678.


Author(s):  
Ta Hai Tung

With the development of the computationalpower of programmable processors, the Software-DefinedRadio (SDR) approach for GPS receivers has been widelyconsidered. However, in comparison with the conventionalhardware receivers, the computational speed of the SDRreceivers is still a problem needed to be improved. As afirst process of the digital processing part, and also themost resource consuming process of a GPS receiver, thesignal acquisition process is very important and neededto be improved in order to suit with the SDR approach.This paper introduces a hybrid signal acquisition methodleveraging the conventional serial search acquisition (typical in hardware receivers), and the FFT-based parallelsearch (typical in SDR receivers) in order to significantlyimprove the acquisition sensitivity, meanwhile keep thecomputational complexity still comparable with that of theFFT-based parallel method.


Author(s):  
Antonio Seoane ◽  
Alberto Jaspe

Graphics Processing Units (GPUs) have been evolving very fast, turning into high performance programmable processors. Though GPUs have been designed to compute graphics algorithms, their power and flexibility makes them a very attractive platform for generalpurpose computing. In the last years they have been used to accelerate calculations in physics, computer vision, artificial intelligence, database operations, etc. (Owens, 2007). In this paper an approach to general purpose computing with GPUs is made, followed by a description of artificial intelligence algorithms based on Artificial Neural Networks (ANN) and Evolutionary Computation (EC) accelerated using GPU.


2010 ◽  
Vol 6 (S270) ◽  
pp. 389-396
Author(s):  
Junichiro Makino

AbstractI'll overview the past, present, and future of the GRAPE project, which started as the effort to design and develop specialized hardware for gravitational N-body problem. The current hardware, GRAPE-DR, has an architecture quite different from previous GRAPEs, in the sense that it is a collection of small, but programmable processors, while previous GRAPEs had hardwired pipelines. I'll discuss pros and cons of these two approaches, comparisons with other accelerators and future directions.


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