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» Data-Driven Performance Analysis of Scheduled Processes
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HIPC
2009
Springer
15 years 1 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...
168
Voted
SAMOS
2010
Springer
15 years 1 months ago
Power aware heterogeneous MPSoC with dynamic task scheduling and increased data locality for multiple applications
A new heterogeneous multiprocessor system with dynamic memory and power management for improved performance and power consumption is presented. Increased data locality is automatic...
Oliver Arnold, Gerhard Fettweis
124
Voted
JSSPP
2005
Springer
15 years 9 months ago
An Extended Evaluation of Two-Phase Scheduling Methods for Animation Rendering
Recently HP Labs engaged in a joint project with DreamWorks Animation to develop a Utility Rendering Service that was used to render part of the computer-animated feature film Shr...
Yunhong Zhou, Terence Kelly, Janet L. Wiener, Eric...
124
Voted
RTCSA
2000
IEEE
15 years 8 months ago
Scheduling optional computations in fault-tolerant real-time systems
This paper introduces an exact schedulability analysis for the optional computation model urider a specified failure hypothesis. From this analysis, we propose a solutionfor deter...
Pedro Mejía-Alvarez, Hakan Aydin, Daniel Mo...
SIGMETRICS
2010
ACM
195views Hardware» more  SIGMETRICS 2010»
15 years 7 months ago
CWS: a model-driven scheduling policy for correlated workloads
We define CWS, a non-preemptive scheduling policy for workloads with correlated job sizes. CWS tackles the scheduling problem by inferring the expected sizes of upcoming jobs bas...
Giuliano Casale, Ningfang Mi, Evgenia Smirni