Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kaustubh Shivdikar"'
Autor:
Neal Livesay, Gilbert Jonatan, Evelio Mora, Kaustubh Shivdikar, Rashmi Agrawal, Ajay Joshi, Jose L. Abellan, John Kim, David Kaeli
Publikováno v:
IEEE Micro. :1-9
Publikováno v:
2021 International Symposium on Secure and Private Execution Environment Design (SEED).
General matrix multiplication (GEMM) libraries on x86 architectures have recently adopted Just-in-time (JIT) based optimizations to dramatically reduce the execution time of small and medium-sized matrix multiplication. The exploitation of the latest
Autor:
John Kim, Shi Dong, Trinayan Baruah, Kaustubh Shivdikar, Yifan Sun, David Kaeli, José L. Abellán, Ajay Joshi, Kihoon Jung, Yash Ukidave, Saiful A. Mojumder
Publikováno v:
ISPASS
Graph Neural Networks (GNNs) have emerged as a promising class of Machine Learning algorithms to train on non-euclidean data. GNNs are widely used in recommender systems, drug discovery, text understanding, and traffic forecasting. Due to the energy
Autor:
A. Lazarev, F. Yusuf, J. Fitch, Christopher C. Bunn, David Kaeli, J. Booth, Kaustubh Shivdikar, Harrison Barclay
Publikováno v:
Parallel Computing. 90:102568
This paper evaluates the reproducibility of a Supercomputing 17 paper titled Extreme Scale Multi-Physics Simulations of the Tsunamigenic 2004 Sumatra Megathrust Earthquake. We evaluate reproducibility on a significantly smaller computer system than u
Publikováno v:
2017 IEEE Aerospace Conference.
In November 2014, a massive cyber-attack on a major company leaked sensitive data including thousands of personal records. Despite the fact that a lot of research and development has gone in the past decade to develop robust encryption algorithms, ha
Publikováno v:
2016 IEEE Aerospace Conference.
Wireless sensor networks are characterized by a limited availability of resources such as the power required for data transmission. Cooperative communication enables transmission of data without using too much power. The fading of data is considerabl
Publikováno v:
2015 Annual IEEE India Conference (INDICON).
Humans can view an image and immediately determine what the image is trying to convey. While this may be an easy event for humans, it is still considerably difficult for a computer to understand of its own accord. The challenge broadly lies in develo