Author: Frederic T. Chong
Publisher: Springer
ISBN: 3540445706
Category : Computers
Languages : en
Pages : 201
Book Description
We are pleased to present this collection of papers from the Second Workshop on Intelligent Memory Systems. Increasing die densities and inter chip communication costs continue to fuel interest in intelligent memory systems. Since the First Workshop on Mixing Logic and DRAM in 1997, technologies and systems for computation in memory have developed quickly. The focus of this workshop was to bring together researchers from academia and industry to discuss recent progress and future goals. The program committee selected 8 papers and 6 poster session abstracts from 29 submissions for inclusion in the workshop. Four to five members of the program committee reviewed each submission and their reviews were used to numerically rank them and guide the selection process. We believe that the resulting program is of the highest quality and interest possible. The selected papers cover a wide range of research topics such as circuit technology, processor and memory system architecture, compilers, operating systems, and applications. They also present a mix of mature projects, work in progress, and new research ideas. The workshop also included two invited talks. Dr. Subramanian Iyer (IBM Microelectronics) provided an overview of embedded memory technology and its potential. Dr. Mark Snir (IBM Research) presented the Blue Gene, an aggressive supercomputer system based on intelligent memory technology.
Intelligent Memory Systems
Author: Frederic T. Chong
Publisher: Springer
ISBN: 3540445706
Category : Computers
Languages : en
Pages : 201
Book Description
We are pleased to present this collection of papers from the Second Workshop on Intelligent Memory Systems. Increasing die densities and inter chip communication costs continue to fuel interest in intelligent memory systems. Since the First Workshop on Mixing Logic and DRAM in 1997, technologies and systems for computation in memory have developed quickly. The focus of this workshop was to bring together researchers from academia and industry to discuss recent progress and future goals. The program committee selected 8 papers and 6 poster session abstracts from 29 submissions for inclusion in the workshop. Four to five members of the program committee reviewed each submission and their reviews were used to numerically rank them and guide the selection process. We believe that the resulting program is of the highest quality and interest possible. The selected papers cover a wide range of research topics such as circuit technology, processor and memory system architecture, compilers, operating systems, and applications. They also present a mix of mature projects, work in progress, and new research ideas. The workshop also included two invited talks. Dr. Subramanian Iyer (IBM Microelectronics) provided an overview of embedded memory technology and its potential. Dr. Mark Snir (IBM Research) presented the Blue Gene, an aggressive supercomputer system based on intelligent memory technology.
Publisher: Springer
ISBN: 3540445706
Category : Computers
Languages : en
Pages : 201
Book Description
We are pleased to present this collection of papers from the Second Workshop on Intelligent Memory Systems. Increasing die densities and inter chip communication costs continue to fuel interest in intelligent memory systems. Since the First Workshop on Mixing Logic and DRAM in 1997, technologies and systems for computation in memory have developed quickly. The focus of this workshop was to bring together researchers from academia and industry to discuss recent progress and future goals. The program committee selected 8 papers and 6 poster session abstracts from 29 submissions for inclusion in the workshop. Four to five members of the program committee reviewed each submission and their reviews were used to numerically rank them and guide the selection process. We believe that the resulting program is of the highest quality and interest possible. The selected papers cover a wide range of research topics such as circuit technology, processor and memory system architecture, compilers, operating systems, and applications. They also present a mix of mature projects, work in progress, and new research ideas. The workshop also included two invited talks. Dr. Subramanian Iyer (IBM Microelectronics) provided an overview of embedded memory technology and its potential. Dr. Mark Snir (IBM Research) presented the Blue Gene, an aggressive supercomputer system based on intelligent memory technology.
Artificial Mind System
Author: Tetsuya Hoya
Publisher: Springer Science & Business Media
ISBN: 9783540260721
Category : Computers
Languages : en
Pages : 300
Book Description
This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that "the mind is a system always evolving", ideas inspired by many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing.
Publisher: Springer Science & Business Media
ISBN: 9783540260721
Category : Computers
Languages : en
Pages : 300
Book Description
This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that "the mind is a system always evolving", ideas inspired by many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing.
High Performance Memory Systems
Author: Haldun Hadimioglu
Publisher: Springer Science & Business Media
ISBN: 1441989870
Category : Computers
Languages : en
Pages : 298
Book Description
The State of Memory Technology Over the past decade there has been rapid growth in the speed of micropro cessors. CPU speeds are approximately doubling every eighteen months, while main memory speed doubles about every ten years. The International Tech nology Roadmap for Semiconductors (ITRS) study suggests that memory will remain on its current growth path. The ITRS short-and long-term targets indicate continued scaling improvements at about the current rate by 2016. This translates to bit densities increasing at two times every two years until the introduction of 8 gigabit dynamic random access memory (DRAM) chips, after which densities will increase four times every five years. A similar growth pattern is forecast for other high-density chip areas and high-performance logic (e.g., microprocessors and application specific inte grated circuits (ASICs)). In the future, molecular devices, 64 gigabit DRAMs and 28 GHz clock signals are targeted. Although densities continue to grow, we still do not see significant advances that will improve memory speed. These trends have created a problem that has been labeled the Memory Wall or Memory Gap.
Publisher: Springer Science & Business Media
ISBN: 1441989870
Category : Computers
Languages : en
Pages : 298
Book Description
The State of Memory Technology Over the past decade there has been rapid growth in the speed of micropro cessors. CPU speeds are approximately doubling every eighteen months, while main memory speed doubles about every ten years. The International Tech nology Roadmap for Semiconductors (ITRS) study suggests that memory will remain on its current growth path. The ITRS short-and long-term targets indicate continued scaling improvements at about the current rate by 2016. This translates to bit densities increasing at two times every two years until the introduction of 8 gigabit dynamic random access memory (DRAM) chips, after which densities will increase four times every five years. A similar growth pattern is forecast for other high-density chip areas and high-performance logic (e.g., microprocessors and application specific inte grated circuits (ASICs)). In the future, molecular devices, 64 gigabit DRAMs and 28 GHz clock signals are targeted. Although densities continue to grow, we still do not see significant advances that will improve memory speed. These trends have created a problem that has been labeled the Memory Wall or Memory Gap.
Memory Systems 1994
Author: Daniel L. Schacter
Publisher: MIT Press
ISBN: 9780262193504
Category : Psychology
Languages : en
Pages : 424
Book Description
Assembled by the prominent psychologists Daniel Schacter and Endel Tulving, the contributions in "Memory Systems 1994" focus on the nature and number of memory systems in humans and animals. Together they present ideas from cognitive psychology, neuropsychology, and neuroscience in a review of intriguing experimental outcomes at the cutting edge of this domain, grappling, often passionately, with the behavioral and neuroanatomical composition of memory systems and subsystems. Chapters are revised versions of contributions that appeared in a special issue of the Journal of Cognitive Neuroscience. This book includes an integrated discussion of and cross-commentary on the earlier contributions. "A Bradford Book"
Publisher: MIT Press
ISBN: 9780262193504
Category : Psychology
Languages : en
Pages : 424
Book Description
Assembled by the prominent psychologists Daniel Schacter and Endel Tulving, the contributions in "Memory Systems 1994" focus on the nature and number of memory systems in humans and animals. Together they present ideas from cognitive psychology, neuropsychology, and neuroscience in a review of intriguing experimental outcomes at the cutting edge of this domain, grappling, often passionately, with the behavioral and neuroanatomical composition of memory systems and subsystems. Chapters are revised versions of contributions that appeared in a special issue of the Journal of Cognitive Neuroscience. This book includes an integrated discussion of and cross-commentary on the earlier contributions. "A Bradford Book"
Neuromorphic Cognitive Systems
Author: Qiang Yu
Publisher: Springer
ISBN: 3319553100
Category : Technology & Engineering
Languages : en
Pages : 180
Book Description
This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.
Publisher: Springer
ISBN: 3319553100
Category : Technology & Engineering
Languages : en
Pages : 180
Book Description
This book presents neuromorphic cognitive systems from a learning and memory-centered perspective. It illustrates how to build a system network of neurons to perform spike-based information processing, computing, and high-level cognitive tasks. It is beneficial to a wide spectrum of readers, including undergraduate and postgraduate students and researchers who are interested in neuromorphic computing and neuromorphic engineering, as well as engineers and professionals in industry who are involved in the design and applications of neuromorphic cognitive systems, neuromorphic sensors and processors, and cognitive robotics. The book formulates a systematic framework, from the basic mathematical and computational methods in spike-based neural encoding, learning in both single and multi-layered networks, to a near cognitive level composed of memory and cognition. Since the mechanisms for integrating spiking neurons integrate to formulate cognitive functions as in the brain are little understood, studies of neuromorphic cognitive systems are urgently needed. The topics covered in this book range from the neuronal level to the system level. In the neuronal level, synaptic adaptation plays an important role in learning patterns. In order to perform higher-level cognitive functions such as recognition and memory, spiking neurons with learning abilities are consistently integrated, building a system with encoding, learning and memory functionalities. The book describes these aspects in detail.
Smart Memory
Author: Tanushree Podder
Publisher: Pustak Mahal
ISBN: 8122307590
Category : Psychology
Languages : en
Pages : 124
Book Description
Do you want to be a topper? Do you want to be a leader? Do you want to be popular? Do you want to be a success? If your answer to all these is yes, you need to read this book.It shows you the path to all that you want to achieve, just through improving your memory.
Publisher: Pustak Mahal
ISBN: 8122307590
Category : Psychology
Languages : en
Pages : 124
Book Description
Do you want to be a topper? Do you want to be a leader? Do you want to be popular? Do you want to be a success? If your answer to all these is yes, you need to read this book.It shows you the path to all that you want to achieve, just through improving your memory.
Cybernetics and Mathematics Applications in Intelligent Systems
Author: Radek Silhavy
Publisher: Springer
ISBN: 3319572644
Category : Technology & Engineering
Languages : en
Pages : 458
Book Description
This book presents new methods for and approaches to real-world problems as well as exploratory research describing novel mathematics and cybernetics applications in intelligent systems. It focuses on modern trends in selected fields of technological systems and automation control theory. It also introduces new algorithms, methods and applications of intelligent systems in automation, technological and industrial applications. This book constitutes the refereed proceedings of the Cybernetics and Mathematics Applications in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017.
Publisher: Springer
ISBN: 3319572644
Category : Technology & Engineering
Languages : en
Pages : 458
Book Description
This book presents new methods for and approaches to real-world problems as well as exploratory research describing novel mathematics and cybernetics applications in intelligent systems. It focuses on modern trends in selected fields of technological systems and automation control theory. It also introduces new algorithms, methods and applications of intelligent systems in automation, technological and industrial applications. This book constitutes the refereed proceedings of the Cybernetics and Mathematics Applications in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017.
Wafer-Level Integrated Systems
Author: Stuart K. Tewksbury
Publisher: Springer Science & Business Media
ISBN: 1461316251
Category : Technology & Engineering
Languages : en
Pages : 456
Book Description
From the perspective of complex systems, conventional Ie's can be regarded as "discrete" devices interconnected according to system design objectives imposed at the circuit board level and higher levels in the system implementation hierarchy. However, silicon monolithic circuits have progressed to such complex functions that a transition from a philosophy of integrated circuits (Ie's) to one of integrated sys tems is necessary. Wafer-scale integration has played an important role over the past few years in highlighting the system level issues which will most significantly impact the implementation of complex monolithic systems and system components. Rather than being a revolutionary approach, wafer-scale integration will evolve naturally from VLSI as defect avoidance, fault tolerance and testing are introduced into VLSI circuits. Successful introduction of defect avoidance, for example, relaxes limits imposed by yield and cost on Ie dimensions, allowing the monolithic circuit's area to be chosen according to the natural partitioning of a system into individual functions rather than imposing area limits due to defect densities. The term "wafer level" is perhaps more appropriate than "wafer-scale". A "wafer-level" monolithic system component may have dimensions ranging from conventional yield-limited Ie dimensions to full wafer dimensions. In this sense, "wafer-scale" merely represents the obvious upper practical limit imposed by wafer sizes on the area of monolithic circuits. The transition to monolithic, wafer-level integrated systems will require a mapping of the full range of system design issues onto the design of monolithic circuit.
Publisher: Springer Science & Business Media
ISBN: 1461316251
Category : Technology & Engineering
Languages : en
Pages : 456
Book Description
From the perspective of complex systems, conventional Ie's can be regarded as "discrete" devices interconnected according to system design objectives imposed at the circuit board level and higher levels in the system implementation hierarchy. However, silicon monolithic circuits have progressed to such complex functions that a transition from a philosophy of integrated circuits (Ie's) to one of integrated sys tems is necessary. Wafer-scale integration has played an important role over the past few years in highlighting the system level issues which will most significantly impact the implementation of complex monolithic systems and system components. Rather than being a revolutionary approach, wafer-scale integration will evolve naturally from VLSI as defect avoidance, fault tolerance and testing are introduced into VLSI circuits. Successful introduction of defect avoidance, for example, relaxes limits imposed by yield and cost on Ie dimensions, allowing the monolithic circuit's area to be chosen according to the natural partitioning of a system into individual functions rather than imposing area limits due to defect densities. The term "wafer level" is perhaps more appropriate than "wafer-scale". A "wafer-level" monolithic system component may have dimensions ranging from conventional yield-limited Ie dimensions to full wafer dimensions. In this sense, "wafer-scale" merely represents the obvious upper practical limit imposed by wafer sizes on the area of monolithic circuits. The transition to monolithic, wafer-level integrated systems will require a mapping of the full range of system design issues onto the design of monolithic circuit.
Innovations in the Memory System
Author: Rajeev Balasubramonian
Publisher: Springer Nature
ISBN: 3031017633
Category : Technology & Engineering
Languages : en
Pages : 129
Book Description
The memory system has the potential to be a hub for future innovation. While conventional memory systems focused primarily on high density, other memory system metrics like energy, security, and reliability are grabbing modern research headlines. With processor performance stagnating, it is also time to consider new programming models that move some application computations into the memory system. This, in turn, will lead to feature-rich memory systems with new interfaces. The past decade has seen a number of memory system innovations that point to this future where the memory system will be much more than dense rows of unintelligent bits. This book takes a tour through recent and prominent research works, touching upon new DRAM chip designs and technologies, near data processing approaches, new memory channel architectures, techniques to tolerate the overheads of refresh and fault tolerance, security attacks and mitigations, and memory scheduling.
Publisher: Springer Nature
ISBN: 3031017633
Category : Technology & Engineering
Languages : en
Pages : 129
Book Description
The memory system has the potential to be a hub for future innovation. While conventional memory systems focused primarily on high density, other memory system metrics like energy, security, and reliability are grabbing modern research headlines. With processor performance stagnating, it is also time to consider new programming models that move some application computations into the memory system. This, in turn, will lead to feature-rich memory systems with new interfaces. The past decade has seen a number of memory system innovations that point to this future where the memory system will be much more than dense rows of unintelligent bits. This book takes a tour through recent and prominent research works, touching upon new DRAM chip designs and technologies, near data processing approaches, new memory channel architectures, techniques to tolerate the overheads of refresh and fault tolerance, security attacks and mitigations, and memory scheduling.
In-/Near-Memory Computing
Author: Daichi Fujiki
Publisher: Springer Nature
ISBN: 3031017722
Category : Technology & Engineering
Languages : en
Pages : 124
Book Description
This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been attracting growing interest due to its potential to break the memory wall. Near-memory computing moves compute logic near the memory, and thereby reduces data movement. Recent work has also shown that certain memories can morph themselves into compute units by exploiting the physical properties of the memory cells, enabling in-situ computing in the memory array. While in- and near-memory computing can circumvent overheads related to data movement, it comes at the cost of restricted flexibility of data representation and computation, design challenges of compute capable memories, and difficulty in system and software integration. Therefore, wide deployment of in-/near-memory computing cannot be accomplished without techniques that enable efficient mapping of data-intensive applications to such devices, without sacrificing accuracy or increasing hardware costs excessively. This book describes various memory substrates amenable to in- and near-memory computing, architectural approaches for designing efficient and reliable computing devices, and opportunities for in-/near-memory acceleration of different classes of applications.
Publisher: Springer Nature
ISBN: 3031017722
Category : Technology & Engineering
Languages : en
Pages : 124
Book Description
This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been attracting growing interest due to its potential to break the memory wall. Near-memory computing moves compute logic near the memory, and thereby reduces data movement. Recent work has also shown that certain memories can morph themselves into compute units by exploiting the physical properties of the memory cells, enabling in-situ computing in the memory array. While in- and near-memory computing can circumvent overheads related to data movement, it comes at the cost of restricted flexibility of data representation and computation, design challenges of compute capable memories, and difficulty in system and software integration. Therefore, wide deployment of in-/near-memory computing cannot be accomplished without techniques that enable efficient mapping of data-intensive applications to such devices, without sacrificing accuracy or increasing hardware costs excessively. This book describes various memory substrates amenable to in- and near-memory computing, architectural approaches for designing efficient and reliable computing devices, and opportunities for in-/near-memory acceleration of different classes of applications.