Adaptive Computing based on FPGA Run-time Reconfigurability
2011 (English)Doctoral thesis, monograph (Other academic)
In the past two decades, FPGA has been witnessed from its restricted use as glue logic towards real System-on-Chip (SoC) platforms. Profiting from the great development on semiconductor and IC technologies, the programmability of FPGAs enables themselves wide adoption in all kinds of aspects of embedded designs. Modern FPGAs provide the additional capability of being dynamically and partially reconfigured during the system run-time. The run-time reconfigurability enhances FPGA designs from the sole spatial to both spatial and temporal parallelism, providing more design flexibility for advanced system features.
Adaptive computing delegates an advanced computing paradigm in which computation tasks and resources are intelligently managed in correspondence with conditional requirements. In this thesis, we investigate adaptive designs on FPGA platforms: We present a comprehensive and practical design framework for adaptive computing based on the FPGA run-time reconfigurability. It concerns several design key issues in different hardware/software layers, specifically hardware architecture, run-time reconfiguration technical support, OS and device drivers, hardware process scheduler, context switching as well as Inter-Process Communications (IPC). Targeting a special application of data acquisition (DAQ) and trigger systems in nuclear and particle physics experiments, we set up the data streaming model and conduct theoretical analysis on the adaptive system. Three application studies are employed to verify the proposed adaptive design framework: The first application demonstrates a peripheral controller adaptable system aiming at general embedded designs. Through dynamically loading/unloading a NOR flash memory controller and an SRAM controller, both flash memory and SRAM accesses may be accomplished with less resource consumption than in traditional static designs. In the second case, two real algorithm processing engines are adaptively time-multiplexed in the same reconfigurable slot for particle recognition computation. Experimental results reveal the reduced on-chip resource requirements, as well as an approximate processing capability of the peer static design. Taking advantage of the FPGA dynamic reconfigurability, we present in the third application a novel on-FPGA interconnection microarchitecture named RouterLess NoC (RL-NoC). RL-NoC employs the novel design concept of Move Logic Not Data (MLND), and significantly distinguishes itself from the existing interconnection architectures such as buses, crossbars or NoCs. It does not rely on routers to deliver packets hop by hop as canonical NoCs do, but buffers data packets in virtual channels and brings various nodes using run-time reconfiguration to produce or consume them. In comparison with canonical packet-switching NoCs, the routerless architecture features lower design complexity, less resource consumption, higher work frequency, more efficient power dissipation as well as comparable or even higher packet delivery efficiency. It is regarded as a promising interconnection approach in some design scenarios on FPGAs, especially for light-weight applications.
Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology , 2011. , xx, 165 p.
Trita-ICT-ECS AVH, ISSN 1653-6363 ; 11:05
adaptive computing, FPGA partial reconfiguration
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-33866ISBN: 978-91-7415-985-1 (print)OAI: oai:DiVA.org:kth-33866DiVA: diva2:418205
2011-06-14, Sal D, Forum, Isafjordsgatan 39, Kista, 11:38 (English)
Peter, Zipf, Professor
Zhonghai, LuAxel, Jantsch, Professor
QC 201105312011-05-312011-05-202011-08-10Bibliographically approved