Static Reuse Profile Estimation for Array Applications

Autor: Razzak, Abdur, Barai, Atanu, Santhi, Nandakishore, Badawy, Abdel-Hameed A.

Reuse distance analysis is a widely recognized method for application characterization that illustrates cache locality. Although there are various techniques to calculate the reuse profile from dynamic memory traces, it is both time and space-consumi

Externí odkaz: http://arxiv.org/abs/2411.13854

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques

Autor: Abdelkhalik, Hamdy, Aktar, Shamminuj, Arafa, Yehia, Barai, Atanu, Chennupati, Gopinath, Santhi, Nandakishore, Panda, Nishant, Prajapati, Nirmal, Turja, Nazmul Haque, Eidenbenz, Stephan, Badawy, Abdel-Hameed

Recent years have seen the adoption of Machine Learning (ML) techniques to predict the performance of large-scale applications, mostly at a coarse level. In contrast, we propose to use ML techniques for performance prediction at a much finer granular

Externí odkaz: http://arxiv.org/abs/2202.07798

PPT-SASMM: Scalable Analytical Shared Memory Model: Predicting the Performance of Multicore Caches from a Single-Threaded Execution Trace

Autor: Barai, Atanu, Chennupati, Gopinath, Santhi, Nandakishore, Badawy, Abdel-Hameed, Arafa, Yehia, Eidenbenz, Stephan

Performance modeling of parallel applications on multicore processors remains a challenge in computational co-design due to multicore processors' complex design. Multicores include complex private and shared memory hierarchies. We present a Scalable

Externí odkaz: http://arxiv.org/abs/2103.10635

Development of a Device for Remote Monitoring of Heart Rate and Body Temperature

Autor: Rahman, Mohammad Ashekur, Barai, Atanu, Islam, Md. Asadul, Hashem, M. M. A

Publikováno v: Procs. of the IEEE 2012 15th International Conference on Computer & Information Technology (ICCIT 2012), pp.411-416, Chittagong, Bangladesh, December 22-24, (2012)

We present a new integrated, portable device to provide a convenient solution for remote monitoring heart rate at the fingertip and body temperature using Ethernet technology and widely spreading internet. Now a days, heart related disease is rising.

Externí odkaz: http://arxiv.org/abs/1304.0156

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques

Autor: Aktar, Shamminuj, Abdelkhalik, Hamdy, Turja, Nazmul Haque, Arafa, Yehia, Barai, Atanu, Panda, Nishant, Chennupati, Gopinath, Santhi, Nandakishore, Eidenbenz, Stephan, Badawy, Abdel-Hameed

Recent years have seen the adoption of Machine Learning (ML) techniques to predict the performance of large-scale applications, mostly at a coarse level. In contrast, we propose to use ML techniques for performance prediction at much finer granularit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::496df62c8ab7965fe593bad729c079a0
http://arxiv.org/abs/2202.07798