Redirigiendo al acceso original de articulo en 21 segundos...
ARTÍCULO
TITULO

Achieving Performance Speed-up in FPGA Based Bit-Parallel Multipliers using Embedded Primitive and Macro support

Burhan Khurshid    
Roohie Naaz Mir    

Resumen

Modern Field Programmable Gate Arrays (FPGA) are fast moving into the consumer market and their domain has expanded from prototype designing to low and medium volume productions. FPGAs are proving to be an attractive replacement for Application Specific Integrated Circuits (ASIC) primarily because of the low Non-recurring Engineering (NRE) costs associated with FPGA platforms. This has prompted FPGA vendors to improve the capacity and flexibility of the underlying primitive fabric and include specialized macro support and intellectual property (IP) cores in their offerings. However, most of the work related to FPGA implementations does not take full advantage of these offerings. This is primarily because designers rely mainly on the technology-independent optimization to enhance the performance of the system and completely neglect the speed-up that is achievable using these embedded primitives and macro support. In this paper, we consider the technology-dependent optimization of fixed-point bit-parallel multipliers by carrying out their implementations using embedded primitives and macro support that are inherent in modern day FPGAs. Our implementation targets three different FPGA families viz. Spartan-6, Virtex-4 and Virtex-5. The implementation results indicate that a considerable speed up in performance is achievable using these embedded FPGA resources.

 Artículos similares

       
 
Sichu Xing, Songhang Du, Yingyue Huang, Xingqi Qi and Minghao Sui    
Nanofiltration membranes (NF) have been widely used in the field of water treatment because of their advantages of high separation precision, easy operation, and no phase change. Conventional NF membranes, ensnared by the ?trade-off? effect, grapple with... ver más
Revista: Water

 
Ivan Volaric and Victor Sucic    
One of the frequently used classes of sparse reconstruction algorithms is based on the iterative shrinkage/thresholding procedure, in which the thresholding parameter controls a trade-off between the algorithm?s accuracy and execution time. In order to a... ver más
Revista: Information

 
Catarina Palma, Artur Ferreira and Mário Figueiredo    
The presence of malicious software (malware), for example, in Android applications (apps), has harmful or irreparable consequences to the user and/or the device. Despite the protections app stores provide to avoid malware, it keeps growing in sophisticat... ver más
Revista: Information

 
João P. Ferreira, Vinicius C. Ferreira, Sérgio L. Nogueira, João M. Faria and José A. Afonso    
The sharing of mobile network infrastructure has become a key topic with the introduction of 5G due to the high costs of deploying such infrastructures, with neutral host models coupled with features such as network function virtualization (NFV) and netw... ver más
Revista: Information

 
Norah Fahd Alhussainan, Belgacem Ben Youssef and Mohamed Maher Ben Ismail    
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance images (MRIs), a process that is prone to human error and is also time consuming. Recent advancements leverage machine learning models to categorize tumors, such a... ver más
Revista: Computation