Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Joseph Tucek"'
Publikováno v:
ACM Transactions on Computer Systems. 34:1-28
Modern storage technology (solid-state disks (SSDs), NoSQL databases, commoditized RAID hardware, etc.) brings new reliability challenges to the already-complicated storage stack. Among other things, the behavior of these new components during power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9147dc18973084d239885fbc2ee94937
https://doi.org/10.1145/2992782
https://doi.org/10.1145/2992782
Autor:
Le Xu, Haris Volos, Manish Marwah, Mijung Kim, Jun Li, Kimberly Keeton, Joseph Tucek, Pradeep Fernando, Lucy Cherkasova, Alexander Ulanov
Publikováno v:
SoCC
Spark is an in-memory analytics platform that targets commodity server environments today. It relies on the Hadoop Distributed File System (HDFS) to persist intermediate checkpoint states and final processing results. In Spark, immutable data are use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12a4280df4a1780199c4c70a8f4e4471
Autor:
Hideaki Kimura, Mark Lillibridge, Harumi Kuno, Joseph Tucek, Goetz Graefe, Haris Volos, Alistair Veitch
Publikováno v:
Proceedings of the VLDB Endowment. 8:37-48
When a working set fits into memory, the overhead imposed by the buffer pool renders traditional databases non-competitive with in-memory designs that sacrifice the benefits of a buffer pool. However, despite the large memory available with modern ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::134bab283344845c5d12791dff7078b2
https://doi.org/10.14778/2735461.2735465
https://doi.org/10.14778/2735461.2735465
Autor:
Joseph Tucek
Publikováno v:
ACM SIGARCH Computer Architecture News. 44
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6bd6dd5355f5f9b5aaff4a328a8cbcb
https://doi.org/10.1145/3263036
https://doi.org/10.1145/3263036
Autor:
Joseph Tucek, Eric Anderson
Publikováno v:
ACM SIGOPS Operating Systems Review. 44:40-45
Current data intensive scalable computing (DISC) systems, although scalable, achieve embarrassingly low rates of processing per node. We feel that current DISC systems have repeated a mistake of old high-performance systems: focusing on scalability w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e67776428ae04efda31013761f41263
https://doi.org/10.1145/1740390.1740400
https://doi.org/10.1145/1740390.1740400
Publikováno v:
Microprocessors and Microsystems. 33:301-318
The first step towards the design of video processors and systems is to achieve an understanding of the major applications, including not only the theory, but also the workload characteristics of the many image and video compression standards. Introd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be49920b865b251c530922317c3171ba
https://doi.org/10.1016/j.micpro.2009.02.010
https://doi.org/10.1016/j.micpro.2009.02.010
Publikováno v:
SOSP
Diagnosing production run failures is a challenging yet importanttask. Most previous work focuses on offsite diagnosis, i.e.development site diagnosis with the programmers present. This is insufficient for production-run failures as: (1) it is diffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41575a689dfcc9d42296fd8c492adad4
https://doi.org/10.1145/1323293.1294275
https://doi.org/10.1145/1323293.1294275
Publikováno v:
IEEE Micro. 27:26-35
This article proposes an innovative concurrent-program invariant that captures programmers' atomicity assumptions. It describes a tool with two implementations, one in software and the other using hardware support that can automatically extract such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ba81b921bde5e70235c4cbc21800a77
https://doi.org/10.1109/mm.2007.5
https://doi.org/10.1109/mm.2007.5
Publikováno v:
ASPLOS
Concurrency bugs are among the most difficult to test and diagnose of all software bugs. The multicore technology trend worsens this problem. Most previous concurrency bug detection work focuses on one bug subclass, data races, and neglects many othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44db382cfe3b29ffd26a77285818f9ab
https://doi.org/10.1145/1168918.1168864
https://doi.org/10.1145/1168918.1168864
New programming frameworks for scale-out parallel analysis, such as MapReduce and Hadoop, have become a cornerstone for exploiting large datasets. However, there has been little analysis of how such systems perform relative to the capabilities of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d30e53d29f62f863df22efd3a499e000
https://doi.org/10.21236/ada628031
https://doi.org/10.21236/ada628031