Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Rathijit Sen"'
Publikováno v:
Proceedings of the VLDB Endowment. 14:2855-2858
Right-sizing resources for query execution is important for cost-efficient performance, but estimating how performance is affected by resource allocations, upfront, before query execution is difficult. We demonstrate AutoExecutor , a predictive syste
Autor:
Kwanghyun Park, Karla Saur, Dalitso Banda, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos
Prediction queries are widely used across industries to perform advanced analytics and draw insights from data. They include a data processing part (e.g., for joining, filtering, cleaning, featurizing the datasets) and a machine learning (ML) part in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f91ddc65821266f9fede4756ac3a7ae
http://arxiv.org/abs/2206.00136
http://arxiv.org/abs/2206.00136
Autor:
Dong He, Supun C Nakandala, Dalitso Banda, Rathijit Sen, Karla Saur, Kwanghyun Park, Carlo Curino, Jesús Camacho-Rodríguez, Konstantinos Karanasos, Matteo Interlandi
The huge demand for computation in artificial intelligence (AI) is driving unparalleled investments in hardware and software systems for AI. This leads to an explosion in the number of specialized hardware devices, which are now offered by major clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e6fb34fbaec2e4c0349e17d9b4a81c6
http://arxiv.org/abs/2203.01877
http://arxiv.org/abs/2203.01877
Computer architecture design space is vast and complex. Tools are needed to explore new ideas and gain insights quickly, with low efforts and at a desired accuracy. We propose Calipers, a criticality-based framework to model key abstractions of compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cc1c38cac6c2ae451a71cc4dee9284d
http://arxiv.org/abs/2201.05884
http://arxiv.org/abs/2201.05884
Publikováno v:
Proceedings of the VLDB Endowment. 13:3326-3339
Right-sizing resource allocation for big-data queries, particularly in serverless environments, is critical for improving infrastructure operational efficiency, capacity availability, query performance predictability, and for reducing unnecessary wai
Publikováno v:
ICDE
In this paper, we focus on current CPU-FPGA architectures and study their usability for database management systems. To focus our scope, we choose aggregation as the query processing primitive for this investigation. We implement a fully pipelined st
Publikováno v:
ICDE
Big data systems have become increasingly complex making the job of a query optimizer incredibly difficult. This is due to more complicated decision making, more complex query plans seen, and more tedious objective functions in cloud-based big data w
Publikováno v:
IEEE Computer Architecture Letters. 18:79-82
Exploring new directions in ISA and microarchitecture design can be challenging due to the large search space. Efficient tools and methods are needed to quickly identify rewarding design choices. In this work, we develop a graph-based framework that
Publikováno v:
ISPASS
Managed language frameworks are pervasive today, especially in modern datacenters. .NET is one such framework that is used widely in Microsoft Azure but has not been well-studied. Applications built on these frameworks have different characteristics
Publikováno v:
ISPASS
Query processing for data analytics with machine learning scoring involves executing heterogeneous operations in a pipelined fashion. Hardware acceleration is one approach to improve the pipeline performance and free up processor resources by offload