In this paper, we present a novel model enabling system-level decision making for time-triggered many-core architectures in automotive systems. The proposed application model includes shared data entities that need to be bound to memories during decision making. As a key enabler to our approach, we explicitly separate computation and shared memory communication over a network-on-chip (NoC). To deal with contention on a NoC, we model the necessary basis to implement a time-triggered schedule that guarantees freedom of interference. We compute fundamental design decisions, namely (a) spatial binding, (b) multi-hop routing, and (c) time-triggered scheduling, by a novel coupling of answer set programming (ASP) with satisfiability modulo theories (SMT) solvers. First results of an automotive case study demonstrate the applicability of our method for complex real-world applications.
{"title":"A novel model for system-level decision making with combined ASP and SMT solving","authors":"Alexander Biewer, J. Gladigau, C. Haubelt","doi":"10.7873/DATE.2014.230","DOIUrl":"https://doi.org/10.7873/DATE.2014.230","url":null,"abstract":"In this paper, we present a novel model enabling system-level decision making for time-triggered many-core architectures in automotive systems. The proposed application model includes shared data entities that need to be bound to memories during decision making. As a key enabler to our approach, we explicitly separate computation and shared memory communication over a network-on-chip (NoC). To deal with contention on a NoC, we model the necessary basis to implement a time-triggered schedule that guarantees freedom of interference. We compute fundamental design decisions, namely (a) spatial binding, (b) multi-hop routing, and (c) time-triggered scheduling, by a novel coupling of answer set programming (ASP) with satisfiability modulo theories (SMT) solvers. First results of an automotive case study demonstrate the applicability of our method for complex real-world applications.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"50 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82920719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
B. Dinechin, D. V. Amstel, Marc Poulhiès, Guillaume Lager
The requirement of high performance computing at low power can be met by the parallel execution of an application on a possibly large number of programmable cores. However, the lack of accurate timing properties may prevent parallel execution from being applicable to time-critical applications. We illustrate how this problem has been addressed by suitably designing the architecture, implementation, and programming model, of the Kalray MPPA®-256 single-chip many-core processor. The MPPA® -256 (Multi-Purpose Processing Array) processor integrates 256 processing engine (PE) cores and 32 resource management (RM) cores on a single 28nm CMOS chip. These VLIW cores are distributed across 16 compute clusters and 4 I/O subsystems, each with a locally shared memory. On-chip communication and synchronization are supported by an explicitly addressed dual network-on-chip (NoC), with one node per compute cluster and 4 nodes per I/O subsystem. Off-chip interfaces include DDR, PCI and Ethernet, and a direct access to the NoC for low-latency processing of data streams. The key architectural features that support time-critical applications are timing compositional cores, independent memory banks inside the compute clusters, and the data NoC whose guaranteed services are determined by network calculus. The programming model provides communicators that effectively support distributed computing primitives such as remote writes, barrier synchronizations, active messages, and communication by sampling. POSIX time functions expose synchronous clocks inside compute clusters and mesosynchronous clocks across the MPPA®-256 processor.
{"title":"Time-critical computing on a single-chip massively parallel processor","authors":"B. Dinechin, D. V. Amstel, Marc Poulhiès, Guillaume Lager","doi":"10.7873/DATE.2014.110","DOIUrl":"https://doi.org/10.7873/DATE.2014.110","url":null,"abstract":"The requirement of high performance computing at low power can be met by the parallel execution of an application on a possibly large number of programmable cores. However, the lack of accurate timing properties may prevent parallel execution from being applicable to time-critical applications. We illustrate how this problem has been addressed by suitably designing the architecture, implementation, and programming model, of the Kalray MPPA®-256 single-chip many-core processor. The MPPA® -256 (Multi-Purpose Processing Array) processor integrates 256 processing engine (PE) cores and 32 resource management (RM) cores on a single 28nm CMOS chip. These VLIW cores are distributed across 16 compute clusters and 4 I/O subsystems, each with a locally shared memory. On-chip communication and synchronization are supported by an explicitly addressed dual network-on-chip (NoC), with one node per compute cluster and 4 nodes per I/O subsystem. Off-chip interfaces include DDR, PCI and Ethernet, and a direct access to the NoC for low-latency processing of data streams. The key architectural features that support time-critical applications are timing compositional cores, independent memory banks inside the compute clusters, and the data NoC whose guaranteed services are determined by network calculus. The programming model provides communicators that effectively support distributed computing primitives such as remote writes, barrier synchronizations, active messages, and communication by sampling. POSIX time functions expose synchronous clocks inside compute clusters and mesosynchronous clocks across the MPPA®-256 processor.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"14 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89111735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seokwoo Song, Minseok Lee, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu
High performance for a GPGPU workload is obtained by maximizing parallelism and fully utilizing the available resources. However, this is not necessarily energy efficient, especially for memory-intensive GPGPU workloads. In this work, we propose Throttle CTA (cooperative-thread array) Scheduling (TCS) where we leverage two type of throttling - throttling the number of actives cores and throttling of warp execution in the cores - to improve energy-efficiency for memory-intensive GPGPU workloads. The algorithm requires the global CTA or thread block scheduler to reduce the number of cores with assigned thread blocks while leveraging the local warp scheduler to throttle memory requests for some of the cores to further reduce power consumption. The proposed TCS scheduling does not require off-line analysis but can be done dynamically during execution. Instead of relying on conventional metrics such as miss-per-kilo-instruction (MPKI), we leverage the memory access latency metric to determine the memory intensity of the workloads. Our evaluations show that TCS reduces energy by up to 48% (38% on average) across different memory-intensive workload while having very little impact on performance for compute-intensive workloads.
{"title":"Energy-efficient scheduling for memory-intensive GPGPU workloads","authors":"Seokwoo Song, Minseok Lee, John Kim, Woong Seo, Yeon-Gon Cho, Soojung Ryu","doi":"10.7873/DATE.2014.032","DOIUrl":"https://doi.org/10.7873/DATE.2014.032","url":null,"abstract":"High performance for a GPGPU workload is obtained by maximizing parallelism and fully utilizing the available resources. However, this is not necessarily energy efficient, especially for memory-intensive GPGPU workloads. In this work, we propose Throttle CTA (cooperative-thread array) Scheduling (TCS) where we leverage two type of throttling - throttling the number of actives cores and throttling of warp execution in the cores - to improve energy-efficiency for memory-intensive GPGPU workloads. The algorithm requires the global CTA or thread block scheduler to reduce the number of cores with assigned thread blocks while leveraging the local warp scheduler to throttle memory requests for some of the cores to further reduce power consumption. The proposed TCS scheduling does not require off-line analysis but can be done dynamically during execution. Instead of relying on conventional metrics such as miss-per-kilo-instruction (MPKI), we leverage the memory access latency metric to determine the memory intensity of the workloads. Our evaluations show that TCS reduces energy by up to 48% (38% on average) across different memory-intensive workload while having very little impact on performance for compute-intensive workloads.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"61 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83120904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Brandon Del Bel, Jongyeon Kim, C. Kim, S. Sapatnekar
STT-MRAMs are prone to data corruption due to inadvertent bit flips. Traditional methods enhance robustness at the cost of area/energy by using larger cell sizes to improve the thermal stability of the MTJ cells. This paper employs multibit error correction with DRAM-style refreshing to mitigate errors and provides a methodology for determining the optimal level of correction. A detailed analysis demonstrates that the reduction in nonvolatility requirements afforded by strong error correction translates to significantly lower area for the memory array compared to simpler ECC schemes, even when accounting for the increased overhead of error correction.
{"title":"Improving STT-MRAM density through multibit error correction","authors":"Brandon Del Bel, Jongyeon Kim, C. Kim, S. Sapatnekar","doi":"10.7873/DATE2014.195","DOIUrl":"https://doi.org/10.7873/DATE2014.195","url":null,"abstract":"STT-MRAMs are prone to data corruption due to inadvertent bit flips. Traditional methods enhance robustness at the cost of area/energy by using larger cell sizes to improve the thermal stability of the MTJ cells. This paper employs multibit error correction with DRAM-style refreshing to mitigate errors and provides a methodology for determining the optimal level of correction. A detailed analysis demonstrates that the reduction in nonvolatility requirements afforded by strong error correction translates to significantly lower area for the memory array compared to simpler ECC schemes, even when accounting for the increased overhead of error correction.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"11 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84687962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Gemmeke, M. Sabry, J. Stuijt, P. Raghavan, F. Catthoor, David Atienza Alonso
This paper focuses on a review of state-of-the-art memory designs and new design methods for near-threshold computing (NTC). In particular, it presents new ways to design reliable low-voltage NTC memories cost-effectively by reusing available cell libraries, or by adding a digital wrapper around existing commercially available memories. The approach is based on modeling at system level supported by silicon measurement on a test chip in a 40nm low-power processing technology. Advanced monitoring, control and run-time error mitigation schemes enable the operation of these memories at the same optimal near-Vt voltage level as the digital logic. Reliability degradation is thus overcome and this opens the way to solve the memory bottleneck in NTC systems. Starting from the available 40 nm silicon measurements, the analysis is extended to future 14 and 10 nm technology nodes.
{"title":"Resolving the memory bottleneck for single supply near-threshold computing","authors":"T. Gemmeke, M. Sabry, J. Stuijt, P. Raghavan, F. Catthoor, David Atienza Alonso","doi":"10.7873/DATE.2014.215","DOIUrl":"https://doi.org/10.7873/DATE.2014.215","url":null,"abstract":"This paper focuses on a review of state-of-the-art memory designs and new design methods for near-threshold computing (NTC). In particular, it presents new ways to design reliable low-voltage NTC memories cost-effectively by reusing available cell libraries, or by adding a digital wrapper around existing commercially available memories. The approach is based on modeling at system level supported by silicon measurement on a test chip in a 40nm low-power processing technology. Advanced monitoring, control and run-time error mitigation schemes enable the operation of these memories at the same optimal near-Vt voltage level as the digital logic. Reliability degradation is thus overcome and this opens the way to solve the memory bottleneck in NTC systems. Starting from the available 40 nm silicon measurements, the analysis is extended to future 14 and 10 nm technology nodes.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"44 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89313148","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Namita Sharma, P. Panda, Min Li, Prashant Agrawal, F. Catthoor
QR Decomposition (QRD) is a typical matrix decomposition algorithm that shares many common features with other algorithms such as LU and Cholesky decomposition. The principle can be realized in a large number of valid processing sequences that differ significantly in the number of memory accesses and computations, and hence, the overall implementation energy. With modern low power embedded processors evolving towards register files with wide memory interfaces and vector functional units (FUs), the data flow in matrix decomposition algorithms needs to be carefully devised to achieve energy efficient implementation. In this paper, we present an efficient data flow transformation strategy for the Givens Rotation based QRD that optimizes data memory accesses. We also explore different possible implementations for QRD of multiple matrices using the SIMD feature of the processor. With the proposed data flow transformation, a reduction of up to 36% is achieved in the overall energy over conventional QRD sequences.
{"title":"Energy efficient data flow transformation for Givens Rotation based QR Decomposition","authors":"Namita Sharma, P. Panda, Min Li, Prashant Agrawal, F. Catthoor","doi":"10.7873/DATE.2014.224","DOIUrl":"https://doi.org/10.7873/DATE.2014.224","url":null,"abstract":"QR Decomposition (QRD) is a typical matrix decomposition algorithm that shares many common features with other algorithms such as LU and Cholesky decomposition. The principle can be realized in a large number of valid processing sequences that differ significantly in the number of memory accesses and computations, and hence, the overall implementation energy. With modern low power embedded processors evolving towards register files with wide memory interfaces and vector functional units (FUs), the data flow in matrix decomposition algorithms needs to be carefully devised to achieve energy efficient implementation. In this paper, we present an efficient data flow transformation strategy for the Givens Rotation based QRD that optimizes data memory accesses. We also explore different possible implementations for QRD of multiple matrices using the SIMD feature of the processor. With the proposed data flow transformation, a reduction of up to 36% is achieved in the overall energy over conventional QRD sequences.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"51 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87391018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. Keramidas, Michail Mavropoulos, Anna Karvouniari, D. Nikolos
Technology scaling leads to significant faulty bit rates in on-chip caches. In this work, we propose a methodology to mitigate the impact of defective bits (due to permanent faults) in first-level set-associative data caches. Our technique assumes that faulty caches are enhanced with the ability of disabling their defective parts at cache subblock granularity. Our experimental findings reveal that while the occurrence of hard-errors in faulty caches may have a significant impact in performance, a lot of room for improvement exists, if someone is able to take into account the spatial reuse patterns of the to-be-referenced blocks (not all the data fetched into the cache is accessed). To this end, we propose frugal PC-indexed spatial predictors (with very small storage requirements) to orchestrate the (re)placement decisions among the fully and partially unusable faulty blocks. Using cycle-accurate simulations, a wide range of scientific applications, and a plethora of cache fault maps, we showcase that our approach is able to offer significant benefits in cache performance.
{"title":"Spatial pattern prediction based management of faulty data caches","authors":"G. Keramidas, Michail Mavropoulos, Anna Karvouniari, D. Nikolos","doi":"10.7873/DATE.2014.073","DOIUrl":"https://doi.org/10.7873/DATE.2014.073","url":null,"abstract":"Technology scaling leads to significant faulty bit rates in on-chip caches. In this work, we propose a methodology to mitigate the impact of defective bits (due to permanent faults) in first-level set-associative data caches. Our technique assumes that faulty caches are enhanced with the ability of disabling their defective parts at cache subblock granularity. Our experimental findings reveal that while the occurrence of hard-errors in faulty caches may have a significant impact in performance, a lot of room for improvement exists, if someone is able to take into account the spatial reuse patterns of the to-be-referenced blocks (not all the data fetched into the cache is accessed). To this end, we propose frugal PC-indexed spatial predictors (with very small storage requirements) to orchestrate the (re)placement decisions among the fully and partially unusable faulty blocks. Using cycle-accurate simulations, a wide range of scientific applications, and a plethora of cache fault maps, we showcase that our approach is able to offer significant benefits in cache performance.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"74 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87428631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper proposes a design-time (offline) analysis technique to determine application task mapping and scheduling on a multiprocessor system and the voltage and frequency levels of all cores (offline DVFS) that minimize application computation and communication energy, simultaneously minimizing processor aging. The proposed technique incorporates (1) the effect of the voltage and frequency on the temperature of a core; (2) the effect of neighboring cores' voltage and frequency on the temperature (spatial effect); (3) pipelined execution and cyclic dependencies among tasks; and (4) the communication energy component which often constitutes a significant fraction of the total energy for multimedia applications. The temperature model proposed here can be easily integrated in the design space exploration for multiprocessor systems. Experiments conducted with MPEG-4 decoder on a real system demonstrate that the temperature using the proposed model is within 5% of the actual temperature clearly demonstrating its accuracy. Further, the overall optimization technique achieves 40% savings in energy consumption with 6% increase in system lifetime.
{"title":"Temperature aware energy-reliability trade-offs for mapping of throughput-constrained applications on multimedia MPSoCs","authors":"Anup Das, Akash Kumar, B. Veeravalli","doi":"10.7873/DATE.2014.115","DOIUrl":"https://doi.org/10.7873/DATE.2014.115","url":null,"abstract":"This paper proposes a design-time (offline) analysis technique to determine application task mapping and scheduling on a multiprocessor system and the voltage and frequency levels of all cores (offline DVFS) that minimize application computation and communication energy, simultaneously minimizing processor aging. The proposed technique incorporates (1) the effect of the voltage and frequency on the temperature of a core; (2) the effect of neighboring cores' voltage and frequency on the temperature (spatial effect); (3) pipelined execution and cyclic dependencies among tasks; and (4) the communication energy component which often constitutes a significant fraction of the total energy for multimedia applications. The temperature model proposed here can be easily integrated in the design space exploration for multiprocessor systems. Experiments conducted with MPEG-4 decoder on a real system demonstrate that the temperature using the proposed model is within 5% of the actual temperature clearly demonstrating its accuracy. Further, the overall optimization technique achieves 40% savings in energy consumption with 6% increase in system lifetime.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"23 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85183763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Machine learning (ML) based modeling attacks are the currently most relevant and effective attack form for so-called Strong Physical Unclonable Functions (Strong PUFs). We provide an overview of this method in this paper: We discuss (i) the basic conditions under which it is applicable; (ii) the ML algorithms that have been used in this context; (iii) the latest and most advanced results; (iv) the right interpretation of existing results; and (v) possible future research directions.
{"title":"PUF modeling attacks: An introduction and overview","authors":"U. Rührmair, J. Sölter","doi":"10.7873/DATE.2014.361","DOIUrl":"https://doi.org/10.7873/DATE.2014.361","url":null,"abstract":"Machine learning (ML) based modeling attacks are the currently most relevant and effective attack form for so-called Strong Physical Unclonable Functions (Strong PUFs). We provide an overview of this method in this paper: We discuss (i) the basic conditions under which it is applicable; (ii) the ML algorithms that have been used in this context; (iii) the latest and most advanced results; (iv) the right interpretation of existing results; and (v) possible future research directions.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86969579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Field-Effect Transistors (FETs) with on-line controllable-polarity are promising candidates to support next generation System-on-Chip (SoC). Thanks to their enhanced functionality, controllable-polarity FETs enable a superior design of critical components in a SoC, such as processing units and memories, while also providing native solutions to control power consumption. In this paper, we present the efficient design of a SoC core with controllable-polarity FET. Processing units are speeded-up at the datapath level, as arithmetic operations require fewer physical resources than in standard CMOS. Power consumption is decreased via embedded power-gating techniques and tunable high-performance/low-power devices operation. Memory cells are made smaller by merging the access interface with the storage circuitry. We foresee the advantages deriving from these techniques, by evaluating their impact on the design of SoC for a contemporary telecommunication application. Using a 22-nm vertically-stacked silicon nanowire technology, a coarse-grain evaluation at the block level estimates a delay and power reduction of 20% and 19% respectively, at a cost of a moderate area overhead of 15%, with respect to a state-of-art FinFET technology.
{"title":"Advanced system on a chip design based on controllable-polarity FETs","authors":"P. Gaillardon, L. Amarù, Jian Zhang, G. Micheli","doi":"10.7873/DATE.2014.248","DOIUrl":"https://doi.org/10.7873/DATE.2014.248","url":null,"abstract":"Field-Effect Transistors (FETs) with on-line controllable-polarity are promising candidates to support next generation System-on-Chip (SoC). Thanks to their enhanced functionality, controllable-polarity FETs enable a superior design of critical components in a SoC, such as processing units and memories, while also providing native solutions to control power consumption. In this paper, we present the efficient design of a SoC core with controllable-polarity FET. Processing units are speeded-up at the datapath level, as arithmetic operations require fewer physical resources than in standard CMOS. Power consumption is decreased via embedded power-gating techniques and tunable high-performance/low-power devices operation. Memory cells are made smaller by merging the access interface with the storage circuitry. We foresee the advantages deriving from these techniques, by evaluating their impact on the design of SoC for a contemporary telecommunication application. Using a 22-nm vertically-stacked silicon nanowire technology, a coarse-grain evaluation at the block level estimates a delay and power reduction of 20% and 19% respectively, at a cost of a moderate area overhead of 15%, with respect to a state-of-art FinFET technology.","PeriodicalId":6550,"journal":{"name":"2014 Design, Automation & Test in Europe Conference & Exhibition (DATE)","volume":"104 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83627578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：