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Predictive Modeling of the NBTI Effect for Reliable Design
This paper presents a predictive model for the negative bias temperature instability (NBTI) of PMOS under both short term and long term operation. Based on the reaction-diffusion (R-D) mechanism,Expand
Energy management for battery-powered embedded systems
TLDR
This paper presents the first effort toward a formal treatment of battery-aware task scheduling and voltage scaling, based on an accurate analytical model of the battery behavior, using a novel analytical battery model which can be used for the battery lifetime estimation. Expand
The Impact of NBTI Effect on Combinational Circuit: Modeling, Simulation, and Analysis
TLDR
This paper develops a hierarchical framework for analyzing the impact of NBTI on the performance of logic circuits under various operation conditions, such as the supply voltage, temperature, and node switching activity, and proposes an efficient method to predict the degradation of circuit speed over a long period of time. Expand
Throughput-Optimized OpenCL-based FPGA Accelerator for Large-Scale Convolutional Neural Networks
TLDR
This work presents a systematic design space exploration methodology to maximize the throughput of an OpenCL-based FPGA accelerator for a given CNN model, considering the FPGAs resource constraints such as on-chip memory, registers, computational resources and external memory bandwidth. Expand
An Analytical High-Level Battery Model for Use in Energy Management of Portable Electronic Systems
TLDR
A model is proposed that allows a designer to predict the battery time-to-failure for a given load and provides a cost metric for lifetime optimization algorithms and allows for a tradeoff between the accuracy and the amount of computation performed. Expand
Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks
TLDR
This work systematically explore the trade-offs of hardware cost by searching the design variable configurations, and proposes a specific dataflow of hardware CNN acceleration to minimize the memory access and data movement while maximizing the resource utilization to achieve high performance. Expand
EPIMap: Using Epimorphism to map applications on CGRAs
TLDR
Experimental results on 14 important kernels extracted from well known benchmark programs show that using EPIMap can improve the performance of the kernels on CGRA by more than 2.8X on average, as compared to one of the best existing mapping algorithm, EMS. Expand
The Impact of NBTI on the Performance of Combinational and Sequential Circuits
TLDR
This work develops a general framework for analyzing the impact of NBTI on the performance of a circuit, based on various circuit parameters such as the supply voltage, temperature, and node switching activity of the signals etc. Expand
A model for battery lifetime analysis for organizing applications on a pocket computer
TLDR
This work proposes a high-level battery model that allows a designer to analytically predict the battery time-to-failure for a given load and allows for a tradeoff between the accuracy and the amount of computation performed. Expand
REGIMap: Register-aware application mapping on Coarse-Grained Reconfigurable Architectures (CGRAs)
TLDR
This paper significantly improves the state-of-the-art in CGRA compilers by first creating a precise and general formulation of the problem of loop mapping on CGRAs, considering the local registers, and from the insights gained, distilling an efficient and constructive heuristic solution. Expand
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