Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Tim Kaldewey"'
Publikováno v:
ICASSP
We present an optimized weighted finite-state transducer (WFST) decoder capable of online streaming and offline batch processing of audio using Graphics Processing Units (GPUs). The decoder is efficient in memory utilization, input/output (I/O) bandw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b48f9b50be58d6497bd6ddf77c4c8bc
Publikováno v:
ICPP
Today's exponentially increasing data volumes and the high cost of storage make compression essential for the Big Data industry. Although research has concentrated on efficient compression, fast decompression is critical for analytics queries that re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6002f239ca30b07f7df1ef8e8e38b55d
http://arxiv.org/abs/1606.00519
http://arxiv.org/abs/1606.00519
Autor:
Victor W. Lee, Eric Sedlar, Pradeep Dubey, Changkyu Kim, Jatin Chhugani, Tim Kaldewey, Nadathur Satish, Anthony D. Nguyen, Scott A. Brandt
Publikováno v:
ACM Transactions on Database Systems. 36:1-34
In-memory tree structured index search is a fundamental database operation. Modern processors provide tremendous computing power by integrating multiple cores, each with wide vector units. There has been much work to exploit modern processor architec
Autor:
A. Di Blas, Tim Kaldewey
Publikováno v:
IEEE Spectrum. 46:46-51
Why graphics processors will transform database processing?. The graphics coprocessor, invented in the 1970s to churn through voluminous and repetitive calculations and render smooth and realistic-looking images on computer screens, can now chew on l
Autor:
Jatin Chhugani, Anthony D. Nguyen, Victor W. Lee, Tim Kaldewey, Eric Sedlar, Andrea Di Blas, Nadathur Satish, Changkyu Kim, Pradeep Dubey
Publikováno v:
Proceedings of the VLDB Endowment. 2:1378-1389
Join is an important database operation. As computer architectures evolve, the best join algorithm may change hand. This paper re-examines two popular join algorithms -- hash join and sort-merge join -- to determine if the latest computer architectur
Publikováno v:
IBM Journal of Research and Development. 61:12:1-12:11
Training deep learning models often occupies entire compute clusters, built solely for this purpose, for days or even weeks at a time. There exists a large body of work on approaches for improving training performance, ranging from novel algorithms t
Publikováno v:
SIGMOD Conference
Although originally designed to accelerate pixel monsters, graphics Processing Units (GPUs) have been used for some time as accelerators for selected data base operations. However, to the best of our knowledge, no one has yet reported building a comp
Publikováno v:
SYSTOR
While the initial wave of in-memory key-value stores has been optimized for serving relatively fixed content to a very large number of users, an emerging class of enterprise-scale data analytics workloads focuses on capturing, analyzing, and reacting
Publikováno v:
DaMoN
Until recently, the use of graphics processing units (GPUs) for query processing was limited by the amount of memory on the graphics card, a few gigabytes at best. Moreover, input tables had to be copied to GPU memory before they could be processed,
Publikováno v:
SIGMOD Conference
There have been several recent proposals modifying Hadoop, radically changing the storage organization or query processing techniques to obtain good performance for structured data processing. We will showcase Clydesdale, a research prototype for str