This paper presents a new memory paradigm that challenges the conventional view of memory. No longer is memory a passive entity that only stores information; rather, it becomes an active participant in computation. The memory system logically performs dynamic transforms on data, easing the workload of the main processor (or processors). This paper presents several applications which validate the new paradigm. 1 Introduction Conventional thinking views memory as a passive entity that only stores information. The memory system ensures that a read returns the value that was last written, whereas, the processor performs all operations on the data. This paper describes collaborative memory, which challenges this view. Collaborative memory is an...
. Interoperability in non-sequential applications requires communication to exchange information usi...
Workloads involving higher computational operations require impressive computational units. Computat...
Higher-level parallel programming languages can be difficult to implement efficiently on parallel ma...
Computer architecture faces an enormous challenge in recent years: while the demand for performance ...
Microprocessors and memory systems suffer from a growing gap in performance. We introduce Active Pag...
Computers with the Von-Neumann architecture improve their processing power with the support of memo...
The research we conduct has been inspired by the fact that humans are able to improve their memories...
Computing paradigms largely evolved over the last decades mainly driven by continuously increasing p...
The research we conduct has been inspired by the fact that humans are able to improve their memories...
We show how key insights from our research into active memory systems, coupled with emerging trends ...
Abstract. Memory subsystems of contemporary processor architectures are typically equipped with a mu...
In this paper, we introduce memory [en]code, a project that evolved through an art+science collabora...
In this paper, we introduce memory [en]code, a project that evolved through an art+science collabora...
Computing systems are undergoing a transformation from logic-centric towards memory-centric architec...
In-memory computing is the storage of information in the main random access memory (RAM) of servers ...
. Interoperability in non-sequential applications requires communication to exchange information usi...
Workloads involving higher computational operations require impressive computational units. Computat...
Higher-level parallel programming languages can be difficult to implement efficiently on parallel ma...
Computer architecture faces an enormous challenge in recent years: while the demand for performance ...
Microprocessors and memory systems suffer from a growing gap in performance. We introduce Active Pag...
Computers with the Von-Neumann architecture improve their processing power with the support of memo...
The research we conduct has been inspired by the fact that humans are able to improve their memories...
Computing paradigms largely evolved over the last decades mainly driven by continuously increasing p...
The research we conduct has been inspired by the fact that humans are able to improve their memories...
We show how key insights from our research into active memory systems, coupled with emerging trends ...
Abstract. Memory subsystems of contemporary processor architectures are typically equipped with a mu...
In this paper, we introduce memory [en]code, a project that evolved through an art+science collabora...
In this paper, we introduce memory [en]code, a project that evolved through an art+science collabora...
Computing systems are undergoing a transformation from logic-centric towards memory-centric architec...
In-memory computing is the storage of information in the main random access memory (RAM) of servers ...
. Interoperability in non-sequential applications requires communication to exchange information usi...
Workloads involving higher computational operations require impressive computational units. Computat...
Higher-level parallel programming languages can be difficult to implement efficiently on parallel ma...