Skip to search formSkip to main contentSkip to account menu

Matrix clock

Known as: Matrix clocks 
A matrix clock is a mechanism for capturing chronological and causal relationships in a distributed system. Matrix clocks are a generalization of the… 
Wikipedia (opens in a new tab)

Related topics

Related topics

4 relations
Array data structureGarbage collection (computer science)Logical clockVector clock

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
An 8-Bit Compressive Sensing ADC With 4-GS/s Equivalent Speed Utilizing Self-Timed Pipeline SAR-Binary-Search
This brief presents a 65-nm CMOS single-channel 8-bit ADC compatible for energy-efficient high-speed compressive sensing (CS) and… 
2015
2015
An efficient implementation of matrix clocks in the distributed computing environment
A matrix clock is advance concept after the vector clocks and matrix clock store the information of concurrent other processes… 
2012
2012
Precise Point Positioning Integer Ambiguity Resolution with Decoupled Clocks
2004
2004
English movements & American tallcase clocks
2004
2004
Non-Intrusive Detection of Synchronization Errors Using Execution Replay
This paper presents a practical solution for detecting synchronization errors in parallel programs. These errors are: a lack of… 
2003
2003
An efficient data race detector backend for DIOTA
2000
2000
Non-intrusive on-the-fly data race detection using execution replay
This paper presents a practical solution for detecting data races in parallel programs. The solution consists of a combination of… 
1997
1997
Clock snooping and its application in on-the-fly data race detection
In this paper, we describe clock snooping, a novel logical clock update technique that improves the performance of classical… 
1993
1993
Synchronization of pipelines
A recently formulated general timing model of synchronous operation is applied to the special case of latch-controlled pipelined… 
1983
1983
Let's Do It: Teaching Time with Slit Clocks.
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)