Stochastic Theater: Stochastic Datapath Generation Framework for Fault-Tolerant IoT Sensors
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | Stochastic Theater: Stochastic Datapath Generation Framework for Fault-Tolerant IoT Sensors |
| 2. | Creator | Author's name, affiliation, country | Rui Policarpo Duarte; INESC-ID, Instituto Superior Técnico, Universidade de Lisboa, Portugal; Portugal |
| 2. | Creator | Author's name, affiliation, country | Mário Véstias; INESC-ID, Instituto Superior de Engenharia de Lisboa, Portugal; Portugal |
| 2. | Creator | Author's name, affiliation, country | Carlos Carvalho; CEDET, Instituto Superior de Engenharia de Lisboa, Universidade Nova, Portugal; Portugal |
| 2. | Creator | Author's name, affiliation, country | João Casaleiro; CEDET, Instituto Superior de Engenharia de Lisboa, Universidade Nova, Portugal; Portugal |
| 3. | Subject | Discipline(s) | Electronics; Computers |
| 3. | Subject | Keyword(s) | IoT; FPGA; Fault-Tolerant Computing; Stochastic Bitstreams; Approximate Computing |
| 4. | Description | Abstract | Stochastic Computing has emerged as a competitive computing paradigm that produces fast and simple implementations of arithmetic operations, while offering high levels of parallelism, and graceful degradation of the results when in the presence of errors. IoT devices are often operate under limited power and area constraints and subjected to harsh environments, for which, traditional computing paradigms struggle to provide high availability and fault-tolerance. Stochastic Computing is based on the computation of pseudo-random sequences of bits, hence requiring only a single bit per signal, rather than a data-bus. Notwithstanding, we haven’t witnessed its inclusion in custom computing systems. In this direction, this work presents Stochastic Theater, a framework to specify, simulate, and test Stochastic Datapaths to perform computations using stochastic bitstreams targeting IoT systems. In virtue of the granularity of the bitstreams, the bit-level specification of circuits, high-performance characteristics and reconfigurable capabilities, FPGAs were adopted to implement and test such systems. The proposed framework creates Stochastic Machines from a set of user defined arithmetic expressions, and then tests them with the corresponding input values and specific fault injection patterns. Besides the support to create autonomous Stochastic Computing systems, the presented framework also provides generation of stochastic units, being able to produce estimates on performance, resources and power. A demonstration is presented targeting KLT, typical method for data compression in IoT applications. |
| 5. | Publisher | Organizing agency, location | ISEL - High Institute of Engineering of Lisbon |
| 6. | Contributor | Sponsor(s) | Fundação para a Ciência e Tecnologia |
| 7. | Date | (YYYY-MM-DD) | 2018-12-21 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://journals.isel.pt/index.php/i-ETC/article/view/52 |
| 11. | Source | Title; vol., no. (year) | i-ETC : ISEL Academic Journal of Electronics Telecommunications and Computers; Vol 4, No 1 (2018): IoT: Internet of Things as field revolution |
| 12. | Language | English=en | en |
| 13. | Relation | Supp. Files | |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
| 15. | Rights | Copyright and permissions |
Copyright (c) 2018 Rui Policarpo Duarte This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |