Engineering Commons^™

Dynamic Task Prediction For An Spmt Architecture Based On Control Independence, Komal Jothi

Dissertations and Theses

Exploiting better performance from computer programs translates to finding more instructions to execute in parallel. Since most general purpose programs are written in an imperatively sequential manner, closely lying instructions are always data dependent, making the designer look far ahead into the program for parallelism. This necessitates wider superscalar processors with larger instruction windows. But superscalars suffer from three key limitations, their inability to scale, sequential fetch bottleneck and high branch misprediction penalty. Recent studies indicate that current superscalars have reached the end of the road and designers will have to look for newer ideas to build computer processors.

Speculative …

Hardware Architectures And Implementations For Associative Memories : The Building Blocks Of Hierarchically Distributed Memories, Changjian Gao

Dissertations and Theses

During the past several decades, the semiconductor industry has grown into a global industry with revenues around $300 billion. Intel no longer relies on only transistor scaling for higher CPU performance, but instead, focuses more on multiple cores on a single die. It has been projected that in 2016 most CMOS circuits will be manufactured with 22 nm process. The CMOS circuits will have a large number of defects. Especially when the transistor goes below sub-micron, the original deterministic circuits will start having probabilistic characteristics. Hence, it would be challenging to map traditional computational models onto probabilistic circuits, suggesting a …

Cmol/Cmos Hardware Architectures And Performance/Price For Bayesian Memory - The Building Block Of Intelligent Systems, Mazad Shaheriar Zaveri

Dissertations and Theses

The semiconductor/computer industry has been following Moore's law for several decades and has reaped the benefits in speed and density of the resultant scaling. Transistor density has reached almost one billion per chip, and transistor delays are in picoseconds. However, scaling has slowed down, and the semiconductor industry is now facing several challenges. Hybrid CMOS/nano technologies, such as CMOL, are considered as an interim solution to some of the challenges. Another potential architectural solution includes specialized architectures for applications/models in the intelligent computing domain, one aspect of which includes abstract computational models inspired from the neuro/cognitive sciences.

Consequently in this …

Scalable Load And Store Processing In Latency Tolerant Processors, Amit Vasant Gandhi

Dissertations and Theses

Memory latency-tolerant architectures support thousands of in-flight instructions without proportionate scaling of cycle-critical processor resources, and thousands of useful instructions can complete in parallel with a long-latency miss to memory. These architectures, however, require large queues to track all loads and stores executed while a long-latency miss is pending. Hierarchical designs alleviate cycle-time impact of these structures but the Content-Addressable-Memory (CAM) and search functions required to enforce memory ordering and provide data-forwarding place high demand on area and power.

Many recent proposals address the complexity of load and store queues. However, none of these proposals addresses the fundamental source of …

The Design Of Cube Calculus Machine Using Sram-Based Fpga Reconfigurable Hardware Dec’S Perle-1 Board, Qihong Chen

Dissertations and Theses

Presented in this thesis are new approaches to column compatibility checking and column-based input/output encoding for Curtis decompositions of switching functions. These approaches can be used in Curtis-type functional decomposition programs for applications in several scientific disciplines. Examples of applications are: minimization of combinational and sequential logic) mapping of logic functions to programmable logic devices such as CPLDs, MPGAs, and FPGAs, data encryption, data compression, pattern recognition) and image refinement. Presently, Curtis-type functional decomposition programs are used primarily for experimental purposes due to performance, quality, and compatibility issues. However) in the past few years a renewal of interest in the …

Parallel Architectures For Solving Combinatorial Problems Of Logic Design, Phuong Minh Ho

Dissertations and Theses

This thesis presents a new, practical approach to solve various NP-hard combinatorial problems of logic synthesis, logic programming, graph theory and related areas. A problem to be solved is polynomially time reduced to one of several generic combinatorial problems which can be expressed in the form of the Generalized Propositional Formula (GPF) : a Boolean product of clauses, where each clause is a sum of products of negated or non-negated literals.

A New General Purpose Systolic Array For Matrix Computations, Hai Van Dinh Le

Dissertations and Theses

In this thesis, we propose a new systolic architecture which is based on the Faddeev's algorithm. Because Faddeev's algorithm is inherently general purpose, our architecture is able to perform a wide class of matrix computations. And since the architecture is systolic based, it brings massive parallelism to all of its computations. As a result, many matrix operations including addition, multiplication, inversion, LU-decomposition, transpose, and solutions to linear systems of equations can now be performed extremely fast. In addition, our design introduces several concepts which are new to systolic architectures:

- It can be re-configured during run time to perform different …