Embedded System Design: A Unified Hardware/Software Introduction
Embedded System Design: A Unified Hardware/Software Introduction
A comparison of synchronous and cycle-static dataflow
ASILOMAR '95 Proceedings of the 29th Asilomar Conference on Signals, Systems and Computers (2-Volume Set)
HERMES: an infrastructure for low area overhead packet-switching networks on chip
Integration, the VLSI Journal - Special issue: Networks on chip and reconfigurable fabrics
Seamless Hardware-Software Integration in Reconfigurable Computing Systems
IEEE Design & Test
Enabling a Uniform Programming Model Across the Software/Hardware Boundary
FCCM '06 Proceedings of the 14th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
Evaluating UML2 modeling of IP-XACT objects for automatic MP-SoC integration onto FPGA
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Extending IP-XACT to support an MDE based approach for SoC design
Proceedings of the Conference on Design, Automation and Test in Europe
SCMP architecture: an asymmetric multiprocessor system-on-chip for dynamic applications
Proceedings of the Second International Forum on Next-Generation Multicore/Manycore Technologies
IEEE Micro
FUSE: Front-End User Framework for O/S Abstraction of Hardware Accelerators
FCCM '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Field-Programmable Custom Computing Machines
Proceedings of the 49th Annual Design Automation Conference
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This paper introduces the FlexTiles platform, which consist of a manycore architecture associated with a complete tool flow. The different components of the manycore architecture are based on general purpose processors (GPP), low power DSP cores and an eFPGA on which dedicated IPs can be dynamically configured at run-time. Thus, in order to mask the underlying heterogeneity of such an architecture, innovative software mechanism and hardware interface were defined. These features enable a breakthrough in term of computing performance while improving the on-line adaptive capabilities. Given the large variety of possible use cases that these platforms must support and the resulting workload variability, offline approaches are no longer sufficient because they do not allow coping with time changing workloads. In order to facilitate the architecture adaptation under different scenarios, a programming model that considers both static and dynamic behaviors is proposed. The proposed architecture has been implemented on a FPGA platform and has shown the validity of the proposed solution.