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Approximate Computing is an emerging paradigm for developing highly energy-efficient computing systems. It leverages the inherent resilience of applications to trade output quality with energy efficiency. In this paper, we present a novel approximate architecture for energy-efficient motion estimation (ME) in high efficiency video coding (HEVC). We synthesized our designs for both ASIC and FPGA design...
Reliability optimization in the nano-era needs to account for multiple reliability concerns. Redundant Multithreading (RMT) has emerged as a promising technique to mitigate soft-errors in multi-cores. Since variation- and aging-unawareness during RMT may increase aging of slow cores due to high utilization or lead to unbalanced aging under varying workload scenarios, we propose to leverage variations...
Current manycore processors exhibit large on-chip last-level caches that may reach sizes of 32MB – 128MB and incur high power/energy consumption. The emerging Multi-Level Cells (MLC) STT-RAM memory technology improves the capacity and energy efficiency issues of large-sized memory banks. However, MLC STT-RAM incurs non-negligible protection overhead to ensure reliable operations when compared to the...
This paper presents a novel Dynamic Reliability Management System (DyReMS) for on-chip systems that performs resilience-driven resource allocation and mapping. It accounts for both the tasks' resilience properties and heterogeneous error recovery features of different cores. DyReMS also chooses a reliable task version (out of multiple reliability-aware transformed options) depending upon the reliability...
Reliability concerns due to technology scaling have been a major focus of researchers and designers for several technology nodes. Therefore, many new techniques for enhancing and optimizing reliability have emerged particularly within the last five to ten years. This perspective paper introduces the most prominent reliability concerns from today's points of view and roughly recapitulates the progress...
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