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» Mechanisms for Mapping High-Level Parallel Performance Data
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ISPASS
2003
IEEE
15 years 6 months ago
Accelerating private-key cryptography via multithreading on symmetric multiprocessors
Achieving high performance in cryptographic processing is important due to the increasing connectivity among today’s computers. Despite steady improvements in microprocessor and...
Praveen Dongara, T. N. Vijaykumar
ICS
2000
Tsinghua U.
15 years 5 months ago
Push vs. pull: data movement for linked data structures
As the performance gap between the CPU and main memory continues to grow, techniques to hide memory latency are essential to deliver a high performance computer system. Prefetchin...
Chia-Lin Yang, Alvin R. Lebeck
GIS
2002
ACM
15 years 1 months ago
Interactive 3D visualization of vector data in GIS
Vector data represents one major category of data managed by GIS. This paper presents a new technique for vector-data display that is able to precisely and efficiently map vector ...
Oliver Kersting, Jürgen Döllner
GRID
2007
Springer
15 years 7 months ago
Data placement for scientific applications in distributed environments
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...
IROS
2008
IEEE
121views Robotics» more  IROS 2008»
15 years 7 months ago
Learning robot motion control with demonstration and advice-operators
Abstract— As robots become more commonplace within society, the need for tools to enable non-robotics-experts to develop control algorithms, or policies, will increase. Learning ...
Brenna Argall, Brett Browning, Manuela M. Veloso