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Jay D. Schwartz
Jay D. Schwartz
Senior Research Scientist, Amazon Web Services
Verified email at schwartz.pro
Title
Cited by
Cited by
Year
Simulation-based optimization of process control policies for inventory management in supply chains
JD Schwartz, W Wang, DE Rivera
Automatica 42 (8), 1311-1320, 2006
2192006
Evaluating protein attraction and adhesion to biomaterials with the atomic force microscope
MS Wang, LB Palmer, JD Schwartz, A Razatos
Langmuir 20 (18), 7753-7759, 2004
1512004
A process control approach to tactical inventory management in production-inventory systems
JD Schwartz, DE Rivera
International Journal of Production Economics 125 (1), 111-124, 2010
1142010
Dynamic balancing of power across a plurality of processor domains according to power policy control bias
JJ Shrall, JD Schwartz, SH Gunther
US Patent 9,235,252, 2016
412016
Stochastic Linear Programming: Single-stage SLP models
P Kall, J Mayer
Springer Science, 2005
342005
Mechanisms for enabling power management of embedded dynamic random access memory on a semiconductor integrated circuit package
TY Kam, JD Schwartz, SW Kim, SH Gunther
US Patent 8,879,346, 2014
252014
Control-relevant demand forecasting for tactical decision-making in semiconductor manufacturing supply chain management
JD Schwartz, MR Arahal, DE Rivera, KD Smith
IEEE Transactions on semiconductor manufacturing 22 (1), 154-163, 2009
212009
Estimating scalability value for a specific domain of a multicore processor based on active state residency of the domain, stall duration of the domain, memory bandwidth of the …
AN Ananthakrishnan, SH Gunther, JJ Shrall, JD Schwartz
US Patent 9,594,560, 2017
182017
Method, apparatus, and system for energy efficiency and energy conservation including balancing power among multi-frequency domains of a processor based on efficiency rating scheme
SW Kim, J Shrall, JD Schwartz, SH Gunther, TC Furrer
US Patent 9,239,611, 2016
182016
Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation
JD Schwartz, DE Rivera
2006 American Control Conference, 6 pp., 2006
172006
Enhancing power-performance efficiency in a computer system when bursts of activity occurs when operating in low power
HA Salah, E Weissmann, E Rotem, PS Diefenbaugh, JD Schwartz, ...
US Patent 9,600,058, 2017
162017
Performing cross-domain thermal control in a processor
XC Man, MN Derr, JD Schwartz, SH Gunther, JJ Shrall, SM Conrad, ...
US Patent 9,063,727, 2015
122015
Towards control-relevant forecasting in supply chain management
JD Schwartz, DE Rivera, KG Kempf
Proceedings of the 2005, American Control Conference, 2005., 202-207, 2005
112005
Control-relevant demand modeling for supply chain management
JD Schwartz, DE Rivera
IFAC Proceedings Volumes 39 (1), 267-272, 2006
102006
Optimal tuning of process control-based decision policies for inventory management in supply chains
JD Schwartz, W Wang, DE Rivera
Automatica 42, 1311-1320, 2006
92006
Apparatus and method for determining the number of execution cores to keep active in a processor
AN Ananthakrishnan, JF Sebot, JD Schwartz, SH Gunther, EC Samson
US Patent 9,037,889, 2015
82015
A control-relevant approach to demand modeling for supply chain management
JD Schwartz, DE Rivera
Computers & chemical engineering 70, 78-90, 2014
82014
Mechanisms for utilizing efficiency metrics to control embedded dynamic random access memory power states on a semiconductor integrated circuit package
TY Kam, JD Schwartz, SW Kim, SH Gunther
US Patent 8,611,170, 2013
72013
Next generation supply chain management: Control, optimization, and system identification
JD Schwartz
Arizona State University, 2008
72008
A control theoretic evaluation of schedule nervousness suppression techniques for master production scheduling
MW Braun, JD Schwartz
Decision Policies for Production Networks, 143-171, 2012
62012
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