Back to Results
First PageMeta Content
Transaction processing / Data / Computer memory / Databases / Non-blocking algorithm / Transactional Synchronization Extensions / Spinlock / Lock / Readers–writer lock / Concurrency control / Computing / Data management


Appears in the 20th International Symposium On High-Performance Computer Architecture, Feb[removed]Feb. 19, [removed]Improving In-Memory Database Index Performance with R Intel Transactional Synchronization Extensions
Add to Reading List

Document Date: 2014-01-10 07:49:17


Open Document

File Size: 438,18 KB

Share Result on Facebook

City

Munich / Hillsboro / Dresden / Oakland / Fresno / Palo Alto / Walldorf / /

Company

Intel Corporation / /

Country

Germany / /

/

IndustryTerm

web resources site3 / traversal algorithm / concurrent algorithms / Search keys / database systems / multi-threaded software / target hardware / in-memory database systems / binary search / tree search traversal / highperformance in-memory database systems / elision algorithm / software interfaces / optimized search performance / level algorithms / search lookup / highperformance systems / cache coherence protocol / performance monitoring infrastructure / software systems / linear search / legacy hardware / /

MarketIndex

Delta Storage / case 40 / case 20 / TSX to / Delta R Storage / TSX / HANA / /

OperatingSystem

Linux / /

Person

Ravi Rajwar / Benjamin Schlegel / Roman Dementiev / Thomas Legler / Tomas Karnagel / Wolfgang Lehner / Konrad Lai / /

Position

writer / Architecture Software Developer / AG / Database Development / /

Technology

traversal algorithm / lock-based algorithms / multi-threaded algorithms / one processor / transactionally executing processor / underlying processor / Linux / elision algorithm / simulation / cache coherence protocol / high-level algorithms / /

URL

http /

SocialTag