| 1. |
- Candaele, Bernard, et al.
(författare)
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Mapping Optimisation for Scalable multi-core ARchiTecture : The MOSART approach
- 2010
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Ingår i: Proceedings - IEEE Annual Symposium on VLSI, ISVLSI 2010. - 9780769540764 ; , s. 518-523
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Konferensbidrag (refereegranskat)abstract
- The project will address two main challenges of prevailing architectures: 1) The global Interconnect and memory bottleneck due to a single, globally shared memory with high access times and power consumption; 2) The difficulties in programming heterogeneous, multi-core platforms, in particular in dynamically managing data structures in distributed memory. MOSART aims to overcome these through a multi-core architecture with distributed memory organisation, a Network-on-Chip (NoC) communication backbone and configurable processing cores that are scaled, optimised and customised together to achieve diverse energy, performance, cost and size requirements of different classes of applications. MOSART achieves this by: A) Providing platform support for management of abstract data structures Including middleware services and a run-time data manager for NoC based communication infrastructure; 2) Developing tool support for parallelizing and mapping applications on the multi-core target platform and customizing the processing cores for the application.
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| 2. |
- Candaele, Bernard, et al.
(författare)
-
The MOSART Mapping Optimization for multi-core Architectures
- 2011
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Ingår i: VLSI 2010 Annual Symposium. - Dordrecht : Springer Publishing Company. ; , s. 181-195
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Konferensbidrag (refereegranskat)abstract
- MOSART project addresses two main challenges of prevailing architectures: (i) Theglobal interconnect and memory bottleneck due to a single, globally shared memorywith high access times and power consumption; (ii) The difficulties in programmingheterogeneous, multi-core platforms MOSART aims to overcome these through amulti-core architecture with distributed memory organization, a Network-on-Chip(NoC) communication backbone and configurable processing cores that are scaled,optimized and customized together to achieve diverse energy, performance, cost andsize requirements of different classes of applications. MOSART achieves this by:(i) Providing platform support for management of abstract data structures includingmiddleware services and a run-time data manager for NoC based communicationinfrastructure; (ii) Developing tool support for parallelizing and mapping applicationson the multi-core target platform and customizing the processing cores for theapplication.
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| 3. |
- Jafri, Syed Mohammad Asad Hassan, et al.
(författare)
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Self-Adaptive NoC Power Management with Dual-Level Agents : Architecture and Implementation
- 2012
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Ingår i: PECCS 2012 - Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems. - 9789898565006 ; , s. 450-458
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Konferensbidrag (refereegranskat)abstract
- Architecture and Implementation of adaptive NoC to improve performance and power consumption is presented. On platforms hosting multiple applications, hardware variations and unpredictable workloads make static design-time assignments highly sub-optimal e.g. in terms of power and performance. As a solution to this problem, adaptive NoCs are designed, which dynamically adapt towards optimal implementation. This paper addresses the architectural design of adaptive NoC, which is an essential step towards design automation. The architecture involves two levels of agents: a system level agent implemented in software on a dedicated general purpose processor and the local agents implemented as microcontrollers of each network node. The system agent issues specific instructions to perform monitoring and reconfiguration operations, while the local agents operate according to the commands from the system agent. To demonstrate the system architecture, best-effort power management with distributed voltage and frequency scaling is implemented, while meeting run-time execution requirements. Four benchmarks (matrix multiplication, FFT, wavefront, and hiperLAN transmitter) are experimented on a cycle-accurate RTL-level shared-memory NoC simulator. Power analysis with 65nm multi-Vdd library shows a significant reduction in energy consumption (from 21 % to 36 %). The synthesis also shows minimal area overhead (4 %) of the local agent compared to the original NoC switch.
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