Implementation and performance analysis of SEAL encryption on FPGA, GPU and multi-core processors
Accelerators, such as field programmable gate arrays (FPGAs) and graphics processing units (GPUs), are special purpose processors designed to speed up compute-intensive sections of applications. FPGAs are highly customizable, while GPUs provide massive parallel execution resources and high memory bandwidth. In this paper, we compare the performance of these architectures, presenting a performance study of SEAL, a fast, software-oriented encryption algorithm on a Virtex-6 FPGA, a Graphics Processor Unit (GPU), and Intel Core i7, a 2-way hyper-threaded, 4-core processor. We show that each platform has relative competitive advantages in encrypting an input plaintext using SEAL. © 2011 IEEE.
Showing items related by title, author, creator and subject.
Syrivelis, D.; Lalis, S. (2009)This paper presents software support that enables seamless task restructuring and load balancing of pipelined applications at runtime, making it possible to dynamically pick the stages that will be executed as separate ...
Extracting coarse-grained pipelined parallelism out of sequential applications for parallel processor arrays Syrivelis, D.; Lalis, S. (2009)We present development and runtime support for building application specific data processing pipelines out of sequential code, and for executing them on a general purpose platform that features a reconfigurable Parallel ...
Koziri, M.; Zacharis, D.; Katsavounidis, I.; Bellas, N. (2011)Multi-core Application Specific Instruction Processors (ASIPs) are increasingly used in multimedia applications due to their high performance and programmability. Nonetheless, their efficient use requires extensive ...