Syed M. A. H. Jafri

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Today, coarse grained reconfigurable architectures (CGRAs) host multiple applications, with arbitrary communication and computation patterns. Each application itself is composed of multiple tasks, spatially mapped to different parts of platform. Providing worst-case operating point to all applications leads to excessive energy and power consumption. To(More)
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(More)
This paper considers the possibility of implementing low-cost hardware techniques which would allow to tolerate temporary faults in the datapaths of coarse-grained reconfigurable architectures (CGRAs). Our goal was to use less hardware overhead than commonly used duplication or triplication methods. The proposed technique relies on concurrent error(More)
This paper presents an energy efficient architecture to provide on-demand fault tolerance to multiple traffic classes, running simultaneously on single network on chip (NoC) platform. Today, NoCs host multiple traffic classes with potentially different reliability needs. Providing platform-wide worst-case (maximum) protection to all the classes is neither(More)
In this paper, we propose a polymorphic fault tolerant architecture that can be tailored to efficiently support the reliability needs of multiple applications at run-time. Today, coarse-grained reconfigurable architectures (CGRAs) host multiple applications with potentially different reliability needs. Providing platform-wide worst-case (maximum) protection(More)
This paper presents the implementation of the coarse-grained reconfigurable architecture (CGRA) DART with on-line error detection intended for increasing fault-tolerance. Most parts of the data paths and of the local memory of DART are protected using residue code modulo 3, whereas only the logic unit is protected using duplication with comparison. These(More)
Today, Coarse Grained Reconfigurable Architectures (CGRAs) are becoming an increasingly popular implementation platform. In real world applications, the CGRAs are required to simultaneously host processing (e.g. Audio/video acquisition) and estimation (e.g. audio/video/image recognition) tasks. For estimation problems, neural networks, promise a higher(More)