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We apply hierarchical sparse coding, a form of deep learning, to model user-driven workloads based on on-chip hardware performance counters. We then predict periods of low instruction throughput, during which frequency and voltage can be scaled to reclaim power. Using a multi-layer coding structure, our method progressively codes counter values in terms of a few prominent features learned from data,...
With ever-increasing power densities, Dynamic Thermal Management (DTM) techniques have become mainstream in today's systems. An important component of such techniques is the thermal trigger. It has been shown that predictive thermal triggers can outperform reactive ones. In this paper, we present a novel trade-off space of predictive thermal triggers, and compare different approaches proposed in the...
Wireless Sensor Network (WSN) is an emerging technology that shows great promise for various futuristic applications both for mass public and military. The sensing technology combined with processing power and wireless communication makes it lucrative for being exploited in abundance in future. The inclusion of wireless communication technology also incurs various types of security threats. Although...
With increasing power densities, runtime thermal management is becoming a necessity in today's systems, especially so for highly integrated Multi-Processor Systems-on-Chip (MPSoCs). In this paper, we propose a neural network (NN) based approach to implement an on-chip thermal simulator to aid such runtime management for MPSoCs. The proposed method combines the advantage of approximating the thermal...
We address the problem of Kannada character recognition, and propose a recognition mechanism based on k-means clustering. The large dataset of Kannada characters and their similarity makes the problem one order of magnitude more difficult than for a standard language like English. We propose a segmentation technique to decompose each character into components from 3 base classes, thus reducing the...
Data mining has been the active area of research in the last decade. The classification is one of the important task of data mining. Different kind of classification algorithms have been suggested and tested to predict the future events based on unseen data. The objective of this paper is to compare various classification models that have been frequently used in data mining. Three decision trees;...
Preprocessing is an important step for automatic check processing in Indian scenario where there is huge variation in writing style, especially the way in which Courtesy Amount is terminated and the fractional (Paisa) amount is written. Courtesy Amount Recognition (CAR) and Legal Amount Recognition (LAR) form the core of automated check processing system. For CAR identification, a number of approaches...
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