Modern computing systems are placing ever greater pressure on their memory management systems. The current means of managing the page cache in the Linux kernel is a binary ranking standard through which cached pages are stored either in an active list or an inactive list and managed by an approximation of a least recently used (LRU) algorithm. Recent endeavors in processor caching have revealed the opportunity for increased performance resulting from refining LRU memory management algorithms. I sought to determine the feasibility of replacing the current pseudo-LRU page cache system with one based on re-reference interval prediction (RRIP). This was achieved this by exploring the current Linux kernel to understand how exactly the page cache...
REST/NRFS (RE1-silencing transcription factor) has been initially identified as a negative transcrip...
Machine learning plays a role in a wide variety of fields. It can be used for predicting stock price...
Emerging wearable and environmental sensor technologies provide health professionals with unpreceden...
Modern computing systems are placing ever greater pressure on their memory management systems. The c...
For wide-issue processors, data cache needs to be heavily multi-ported with extremely wide data-path...
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelo...
Memcached and other in-memory distributed key-value stores play a critical role in large-scale web a...
abstract: Concurrency bugs are one of the most notorious software bugs and are very difficult to man...
Limitations in visual working memory (VWM) have been extensively studied in psychophysical tasks, bu...
One of the most vocalized applications of computational interactivity today stem from our biological...
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelo...
Third-party library analysis research is important to many research fields like program analysis, cl...
Reported here is a general Graphical User Interface (GUI) for automatic reliability modeling of Proc...
With the recent rapid development of software technology, safety-critical and security-critical soft...
abstract: The purpose of this study was to examine under which conditions "good" data characteristic...
REST/NRFS (RE1-silencing transcription factor) has been initially identified as a negative transcrip...
Machine learning plays a role in a wide variety of fields. It can be used for predicting stock price...
Emerging wearable and environmental sensor technologies provide health professionals with unpreceden...
Modern computing systems are placing ever greater pressure on their memory management systems. The c...
For wide-issue processors, data cache needs to be heavily multi-ported with extremely wide data-path...
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelo...
Memcached and other in-memory distributed key-value stores play a critical role in large-scale web a...
abstract: Concurrency bugs are one of the most notorious software bugs and are very difficult to man...
Limitations in visual working memory (VWM) have been extensively studied in psychophysical tasks, bu...
One of the most vocalized applications of computational interactivity today stem from our biological...
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelo...
Third-party library analysis research is important to many research fields like program analysis, cl...
Reported here is a general Graphical User Interface (GUI) for automatic reliability modeling of Proc...
With the recent rapid development of software technology, safety-critical and security-critical soft...
abstract: The purpose of this study was to examine under which conditions "good" data characteristic...
REST/NRFS (RE1-silencing transcription factor) has been initially identified as a negative transcrip...
Machine learning plays a role in a wide variety of fields. It can be used for predicting stock price...
Emerging wearable and environmental sensor technologies provide health professionals with unpreceden...