Memory Issues in Embedded Systems-On-Chip: Optimizations and Explorations is designed for different groups in the embedded systems-on-chip arena. First, it is designed for researchers and graduate students who wish to understand the research issues involved in memory system optimization and exploration for embedded systems-on-chip. Second, it is intended for designers of embedded systems who are migrating from a traditional micro-controllers centered, board-based design methodology to newer design methodologies using IP blocks for processor-core-based embedded systems-on-chip. Also, since Memory Issues in Embedded Systems-on-Chip: Optimization and Explorations illustrates a methodology for optimizing and exploring the memory configuration of embedded systems-on-chip, it is intended for managers and system designers who may be interested in the emerging capabilities of embedded systems-on-chip design methodologies for memory-intensive applications.

Memory Issues in Embedded Systems-on-Chip: Optimizations and Exploration

Computers & Technology

Dutt, Nikil D.

Nicolau, Alexandru

Panda, Preeti Ranjan

Computer Science

Springer

Memory Architecture Exploration for Programmable Embedded Systems

Memory Architecture Exploration for Programmable Embedded Systems addresses efficient exploration of alternative memory architectures, assisted by a "compiler-in-the-loop" that allows effective matching of the target application to the processor-memory architecture. This new approach for memory architecture exploration replaces the traditional black-box view of the memory system and allows for aggressive co-optimization of the programmable processor together with a customized memory system. The book concludes with a set of experiments demonstrating the utility of this exploration approach. The authors perform architecture and compiler exploration for a set of large, real-life benchmarks, uncovering promising memory configurations from different perspectives, such as cost, performance and power.

Grun, Peter

Memory Issues in Embedded Systems-On-Chip: Optimizations and Explorations is designed for different groups in the embedded systems-on-chip arena.  First, it is designed for researchers and graduate students who wish to understand the research issues involved in memory system optimization and exploration for embedded systems-on-chip.  Second, it is intended for designers of embedded systems who are migrating from a traditional micro-controllers centered, board-based design methodology to newer design methodologies using IP blocks for processor-core-based embedded systems-on-chip.  Also, since Memory Issues in Embedded Systems-on-Chip: Optimization and Explorations illustrates a methodology for optimizing and exploring the memory configuration of embedded systems-on-chip, it is intended for managers and system designers who may be interested in the emerging capabilities of embedded systems-on-chip design methodologies for memory-intensive applications.

This book precisely formulates and simplifies the presentation of Instruction Level Parallelism (ILP) compilation techniques. It uniquely offers consistent and uniform descriptions of the code transformations involved. Due to the ubiquitous nature of ILP in virtually every processor built today, from general purpose CPUs to application-specific and embedded processors, this book is useful to the student, the practitioner and also the researcher of advanced compilation techniques. With an emphasis on fine-grain instruction level parallelism, this book will also prove interesting to researchers and students of parallelism at large, in as much as the techniques described yield insights that go beyond superscalar and VLIW (Very Long Instruction Word) machines compilation and are more widely applicable to optimizing compilers in general. ILP techniques have found wide and crucial application in Design Automation, where they have been used extensively in the optimization of performance as well as area and power minimization of computer designs.

Instruction Level Parallelism

Aiken, Alex

Kejariwal, Arun

Banerjee, Utpal

This book precisely formulates and simplifies the presentation of Instruction Level Parallelism (ILP) compilation techniques. It uniquely offers consistent and uniform descriptions of the code transformations involved. Due to the ubiquitous nature of ILP in virtually every processor built today, from general purpose CPUs to application-specific and embedded processors, this book is useful to the student, the practitioner and also the researcher of advanced compilation techniques. With an emphasis on fine-grain instruction level parallelism, this book will also prove interesting to researchers and students of parallelism at large, in as much as the techniques described yield insights that go beyond superscalar and VLIW (Very Long Instruction Word) machines compilation and are more widely applicable to optimizing compilers in general. ILP techniques have found wide and crucial application in Design Automation, where they have been used extensively in the optimization of performance as well as area and power minimization of computer designs.

See the best price to sell, buy, or rent books by Nicolau, Alexandru. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Nicolau, Alexandru

See the best price to sell, buy, or rent books by Nicolau, Alexandru. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Memory Issues in Embedded Systems-on-Chip: Optimizations and Exploration

Memory Architecture Exploration for Programmable Embedded Systems

Memory Issues in Embedded Systems-on-Chip: Optimizations and Exploration

Instruction Level Parallelism

Instruction Level Parallelism