Milos D. Ercegovac

Bio: Milos D. Ercegovac is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Adder & Multiplication. The author has an hindex of 34, co-authored 222 publications receiving 4314 citations. Previous affiliations of Milos D. Ercegovac include California State University, Northridge & California State University, Los Angeles.

Trading Accuracy for Power with an Underdesigned Multiplier Architecture

Abstract: We propose a novel multiplier architecture with tunable error characteristics, that leverages a modified inaccurate 2x2 building block. Our inaccurate multipliers achieve an average power saving of 31.78% ? 45.4% over corresponding accurate multiplier designs, for an average error of 1.39%?3.32%. Using image filtering and JPEG compression as sample applications we show that our architecture can achieve 2X - 8X better Signal-Noise-Ratio (SNR) for the same power savings when compared to recent voltage over-scaling based power-error tradeoff methods. We project the multiplier power savings to bigger designs highlighting the fact that the benefits are strongly design dependent. We compare this circuit-centric approach to power quality tradeoffs with a pure software adaptation approach for a JPEG example. We also enhance the design to allow for correct operation of the multiplier using a residual adder, for non error resilient applications.

Redundant and on-line CORDIC: application to matrix triangularization and SVD

Abstract: Several modifications to the CORDIC method of computing angles and performing rotations are presented: (1) the use of redundant (carry-free) addition instead of a conventional (carry-propagate) one; (2) a representation of angles in a decomposed form to reduce area and communication bandwidth; (3) the use of on-line addition (left-to-right, digit-serial addition) to replace shifters by delays; and (4) the use of online multiplication, square root, and division to compute scaling factors and perform the scaling operations. The modifications improve the speed and the area of CORDIC implementations. The proposed scheme uses efficiently floating-point representations. The application of the modified CORDIC method to matrix triangularization by Givens' rotations and to the computation of the singular value decomposition (SVD) are discussed. >

CHAPTER 9 – Digit-Serial Arithmetic

Abstract: In the previous chapters we described algorithms and implementations for arithmetic modules that have the inputs applied all at once (in parallel) and deliver same digit lines. The system is usually clocked so that one digit is applied/deliveredper clock cycle. This serial alternative is the topic of this chapter. We consider thea mixed system in which in which all operands and results are serial, although it is possible to have some inputs and outputs are serial and others parallel. The methods to design these mixed systems can be devised from those for paralleland serial systems.

On-Line Arithmetic: An Overview

Abstract: We discuss in a tutorial manner the principles and techniques of on-line arithmetic. Several examples of on-line algorithms for the basic operations, the evaluation of vector and matrix expressions, solving linear systems and evaluating polynomials, are used to illustrate the characteristics of on-line arithmetic.

Reciprocation, square root, inverse square root, and some elementary functions using small multipliers

Abstract: This paper deals with the computation of reciprocals, square roots, inverse square roots, and some elementary functions using small tables, small multipliers, and, for some functions, a final "large" (almost full-length) multiplication. We propose a method, based on argument reduction and series expansion, that allows fast evaluation of these functions in high precision. The strength of this method is that the same scheme allows the computation of all these functions. We estimate the delay, the size/number of tables, and the size/number of multipliers and compare with other related methods.

Static scheduling algorithms for allocating directed task graphs to multiprocessors

Abstract: Static scheduling of a program represented by a directed task graph on a multiprocessor system to minimize the program completion time is a well-known problem in parallel processing. Since finding an optimal schedule is an NP-complete problem in general, researchers have resorted to devising efficient heuristics. A plethora of heuristics have been proposed based on a wide spectrum of techniques, including branch-and-bound, integer-programming, searching, graph-theory, randomization, genetic algorithms, and evolutionary methods. The objective of this survey is to describe various scheduling algorithms and their functionalities in a contrasting fashion as well as examine their relative merits in terms of performance and time-complexity. Since these algorithms are based on diverse assumptions, they differ in their functionalities, and hence are difficult to describe in a unified context. We propose a taxonomy that classifies these algorithms into different categories. We consider 27 scheduling algorithms, with each algorithm explained through an easy-to-understand description followed by an illustrative example to demonstrate its operation. We also outline some of the novel and promising optimization approaches and current research trends in the area. Finally, we give an overview of the software tools that provide scheduling/mapping functionalities.

Approximate computing: An emerging paradigm for energy-efficient design

Abstract: Approximate computing has recently emerged as a promising approach to energy-efficient design of digital systems. Approximate computing relies on the ability of many systems and applications to tolerate some loss of quality or optimality in the computed result. By relaxing the need for fully precise or completely deterministic operations, approximate computing techniques allow substantially improved energy efficiency. This paper reviews recent progress in the area, including design of approximate arithmetic blocks, pertinent error and quality measures, and algorithm-level techniques for approximate computing.

A Survey of Techniques for Approximate Computing

Abstract: Approximate computing trades off computation quality with effort expended, and as rising performance demands confront plateauing resource budgets, approximate computing has become not merely attractive, but even imperative. In this article, we present a survey of techniques for approximate computing (AC). We discuss strategies for finding approximable program portions and monitoring output quality, techniques for using AC in different processing units (e.g., CPU, GPU, and FPGA), processor components, memory technologies, and so forth, as well as programming frameworks for AC. We classify these techniques based on several key characteristics to emphasize their similarities and differences. The aim of this article is to provide insights to researchers into working of AC techniques and inspire more efforts in this area to make AC the mainstream computing approach in future systems.

[서평]「Computer Organization and Design, The Hardware/Software Interface」

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Digital arithmetic

Abstract: Digital arithmetic plays an important role in the design of general-purpose digital processors and of embedded systems for signal processing, graphics, and communications. In spite of a mature body of knowledge in digital arithmetic, each new generation of processors or digital systems creates new arithmetic design problems. Designers, researchers, and graduate students will find solid solutions to these problems in this comprehensive, state-of-the-art exposition of digital arithmetic. Ercegovac and Lang, two of the field's leading experts, deliver a unified treatment of digital arithmetic, tying underlying theory to design practice in a technology-independent manner. They consistently use an algorithmic approach in defining arithmetic operations, illustrate concepts with examples of designs at the logic level, and discuss cost/performance characteristics throughout. Students and practicing designers alike will find Digital Arithmetic a definitive reference and a consistent teaching tool for developing a deep understanding of the "arithmetic style" of algorithms and designs. Guides readers to develop sound solutions, avoid known mistakes, and repeat successful design decisions. Presents comprehensive coveragefrom fundamental theories to current research trends. Written in a clear and engaging style by two masters of the field. Concludes each chapter with in-depth discussions of the key literature. Includes a full set of over 250 exercises, an on-line appendix with solutions to one-third of the exercises and 600 lecture slides