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Seminar on Smart Memories
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Seminar on Smart Memories


This page presents an excerpt of the available research material, including the Preliminary Pages, Table of Contents, Abstract, Chapters One to Five, and References. It provides a comprehensive overview of the study, enhancing readability and accessibility for students, and researchers seeking complete material on the topic stated above.


ACKNOWLEDGEMENT


I am profoundly grateful to everyone who contributed to the successful completion of this project. I am especially grateful to my Supervisor (Name), the Head of Department (Name), and the Lecturers in the Department of Computer Science Education for their invaluable guidance and support. I also acknowledge the contributions of authors and scholars whose works on Seminar on Smart Memories provided essential insights. Special thanks go to my study area (and any funding organizations, if applicable) for their financial assistance. I am equally thankful to stakeholders, including mentors, teachers, and colleagues, for their encouragement and support. Finally, I deeply appreciate my family and friends for their patience and unwavering support throughout this journey. Your contributions have been instrumental in making this research a reality.







1.1 Introduction

A Smart Memories chip is made up of many processing tiles, each containing local memory, local interconnect, and a processor core. For efficient computation under a wide class of possible applications, the memories, the wires, and the computational model can all be altered to match the applications. Allocating a third of the tile area to memory allows for 16 independent 8KB memory mats, a total of 128KB per tile. Each mat is a 1024x64b logical memory array that can perform reads, writes, compares, and read-modify-writes. All operations are byte maskable. In addition to the memory array, there is configurable logic in the address and data paths. In the address path, the mats take in a 10-bit address and a 4-bit opcode to determine what operation is to be performed. The opcode is decoded using a reconfigurable logic block that is set up during the hardware configuration. The memory address decoder can use the address input directly or can be set in auto-increment/decrement streaming mode.

In this mode, the mat stores the starting index, stream count, and stride. On each streaming mode request, the mat accesses the next word of the stream until reaching the end of the stream. In the data path, each 64-bit word is associated with a valid bit and a 4-bit configurable control field. These bits can be used for storing data state such as cache LRU or coherence bits. They are dual ported to allow read-modify-write operations each cycle and can be flash cleared via special opcodes. Each mat has a write buffer to support pipelined writes and to enable conditional write operations (e.g. in the case of a cache write). Mats also contain logic in the output read path for comparisons, so they can be used as cache tag memory.

As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Limitations of the Study and Definition of technical terms.


CHAPTER TWO

LITERATURE REVIEW


2.1 Introduction

This chapter focuses on the review of related literature. A literature review includes the current knowledge as well as theoretical and methodological contributions to a particular topic. It documents the state of the art with respect to the topic you are writing. It surveys the literature in the topic selected. In this research work the literature review includes the conceputal review, theoretical framework, the review of related literature …


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