The Internet relies heavily on programmable match-action processors for matching network packets against locally available network rules and taking actions, such as forwarding and modification of network packets. This match-action process must be performed at high speed, i.e., commonly within one clock cycle, using a specialized memory unit called Ternary Content Addressable Memory (TCAM). Building on transistor-based CMOS designs, state-of-the-art TCAM architectures have high energy consumption and lack resilient designs for incorporating novel technologies for performing appropriate actions. In this article, we motivate the use of a novel fundamental component, the ‘Memristor’, for the development of TCAM architecture for match-action pro...
Modern computing systems suffer due to inability of CMOS-device technology and conventional Von-Neum...
Training deep learning models is computationally expensive due to the need for a tremendous volume o...
Compact online learning architectures can be used to enhance internet of things devices, allowing th...
The Internet relies heavily on programmable match-action processors for matching network packets aga...
Match-action processors play a crucial role of communicating end-users in the Internet by computing ...
Enabling communication in the Internet heavily depends on programmable match-action processors. Matc...
The high performance requirements of nowadays computer networks are limiting their ability to suppor...
Data-intensive storage and computing systems call for continuing advancements both in data latency a...
<p>Rapid data growth nowadays makes it more critical to reduce search time to improve the performanc...
Stringent memory access and search speed requirements are two of the main bottlenecks in wire speed ...
Stringent memory access and search speed requirements are two of the main bottlenecks in wire speed ...
International audienceResistive Random Access Memories (RRAMs) are a promising solution to implement...
The computation goals of the digital computing world have been segmented into different factions. Th...
International audienceResistive Memory (RRAM)-based Ternary Content Addressable Memories (TCAMs) wer...
High speed, cost effective, low power, and high density non-volatile memory devices aids as driving ...
Modern computing systems suffer due to inability of CMOS-device technology and conventional Von-Neum...
Training deep learning models is computationally expensive due to the need for a tremendous volume o...
Compact online learning architectures can be used to enhance internet of things devices, allowing th...
The Internet relies heavily on programmable match-action processors for matching network packets aga...
Match-action processors play a crucial role of communicating end-users in the Internet by computing ...
Enabling communication in the Internet heavily depends on programmable match-action processors. Matc...
The high performance requirements of nowadays computer networks are limiting their ability to suppor...
Data-intensive storage and computing systems call for continuing advancements both in data latency a...
<p>Rapid data growth nowadays makes it more critical to reduce search time to improve the performanc...
Stringent memory access and search speed requirements are two of the main bottlenecks in wire speed ...
Stringent memory access and search speed requirements are two of the main bottlenecks in wire speed ...
International audienceResistive Random Access Memories (RRAMs) are a promising solution to implement...
The computation goals of the digital computing world have been segmented into different factions. Th...
International audienceResistive Memory (RRAM)-based Ternary Content Addressable Memories (TCAMs) wer...
High speed, cost effective, low power, and high density non-volatile memory devices aids as driving ...
Modern computing systems suffer due to inability of CMOS-device technology and conventional Von-Neum...
Training deep learning models is computationally expensive due to the need for a tremendous volume o...
Compact online learning architectures can be used to enhance internet of things devices, allowing th...