Title :
A Comparison of Graphics Processor Architectures for RFID Simulation
Author :
Ferrero, Renato ; Montrucchio, Bartolomeo ; David, Lorenzo ; Ebrahim, Kargar ; Graglia, Luca ; di Dio Iovino, Giovanni ; Ribero, Marco
Author_Institution :
Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
Abstract :
Graphics Processing Units (GPUs) have a huge number of cores to speed up graphical computations and they are being used in a wide area of general-purpose applications that require high performances. In this paper, GPU computing is exploited to model the signal propagation and the interference in large RFID systems, which are a promising solution for achieving pervasive computing since they offer the automatic object identification. The speedup of the parallel algorithm is evaluated with respect to a sequential version. Two popular frameworks for general-purpose computing on GPU are considered in the comparison, i.e. CUDA and OpenCL, and distinct implementations are provided for them, highlighting their differences in code optimization and performance.
Keywords :
general purpose computers; graphics processing units; interference (signal); optimisation; parallel algorithms; parallel architectures; radiofrequency identification; signal processing; ubiquitous computing; CUDA; GPU; OpenCL; RFID simulation; code optimization; general-purpose applications; graphics processing units; graphics processor architectures; interference; parallel algorithm; pervasive computing; signal propagation; Computational modeling; Computer architecture; Graphics processing units; Instruction sets; Mathematical model; Radiofrequency identification; Synchronization; GPGPU; Nvidia CUDA; OpenCL; parallel computing; pervasive computing;
Conference_Titel :
Network-Based Information Systems (NBiS), 2014 17th International Conference on
Conference_Location :
Salerno
Print_ISBN :
978-1-4799-4226-8
DOI :
10.1109/NBiS.2014.37
