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Hibernus: Sustaining Computation During Intermittent Supply for Energy-Harvesting Systems
TLDR
A new approach for sustaining computation during intermittent supply, Hibernus, has been proposed. Expand
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Variable-length input Huffman coding for system-on-a-chip test
TLDR
This paper presents a new compression method for embedded core-based system-on-a-chip test. Expand
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Hibernus++: A Self-Calibrating and Adaptive System for Transiently-Powered Embedded Devices
TLDR
This paper proposes Hibernus++ to intelligently adapt the hibernate and restore thresholds in response to source dynamics and system load properties. Expand
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Scan architecture with mutually exclusive scan segment activation for shift- and capture-power reduction
TLDR
We propose a scan architecture with mutually exclusive scan segment activation which overcomes the shortcomings of previous approaches. Expand
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Cost-Effective TSV Grouping for Yield Improvement of 3D-ICs
TLDR
We propose a TSV grouping technique for allocating spare TSVs with regular ones in order to achieve highest possible yield at lowest possible hardware cost under independent and clustering defect distributions. Expand
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Improving compression ratio, area overhead, and test application time for system-on-a-chip test data compression/decompression
Proposes a new test data compression/decompression method for systems-on-a-chip. The method is based on analyzing the factors that influence test parameters: compression ratio, area overhead and testExpand
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Numerically Efficient Modeling of CNT Transistors With Ballistic and Nonballistic Effects for Circuit Simulation
This paper presents an efficient carbon nanotube (CNT) transistor modeling technique that is based on cubic spline approximation of the nonequilibrium mobile charge density. The approximationExpand
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Improving Compression Ratio, Area Overhead, and Test Application Time for System-on-a-Chip Test Data Compression/Decompression
TLDR
This paper proposes a new test data compression/decompression method for systems-on-a-chip. Expand
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Improving routing efficiency for network-on-chip through contention-aware input selection
TLDR
This paper investigates the impact of input selection, and presents a novel contention-aware input selection (CAIS) technique for NoC that improves the routing efficiency. Expand
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Reinforcement learning-based inter- and intra-application thermal optimization for lifetime improvement of multicore systems
TLDR
We propose an adaptive thermal management approach to improve the lifetime reliability of multicore systems by considering both inter- and intra-application thermal variations. Expand
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