- Date & Time: Friday, February 2, 2018; 12:00
Speaker: Dr. David Kaeli, Northeastern University
MERL Host: Abraham Goldsmith
Research Areas: Control, Optimization, Machine Learning, Speech & Audio
Abstract 
GPU computing is alive and well! The GPU has allowed researchers to overcome a number of computational barriers in important problem domains. But still, there remain challenges to use a GPU to target more general purpose applications. GPUs achieve impressive speedups when compared to CPUs, since GPUs have a large number of compute cores and high memory bandwidth. Recent GPU performance is approaching 10 teraflops of single precision performance on a single device. In this talk we will discuss current trends with GPUs, including some advanced features that allow them exploit multi-context grains of parallelism. Further, we consider how GPUs can be treated as cloud-based resources, enabling a GPU-enabled server to deliver HPC cloud services by leveraging virtualization and collaborative filtering. Finally, we argue for for new heterogeneous workloads and discuss the role of the Heterogeneous Systems Architecture (HSA), a standard that further supports integration of the CPU and GPU into a common framework. We present a new class of benchmarks specifically tailored to evaluate the benefits of features supported in the new HSA programming model.
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- Date: March 31, 2016
Awarded to: Andrew Knyazev
Research Areas: Control, Optimization, Dynamical Systems, Machine Learning, Data Analytics, Communications, Signal Processing
Brief - Andrew Knyazev selected as a Fellow of the Society for Industrial and Applied Mathematics (SIAM) for contributions to computational mathematics and development of numerical methods for eigenvalue problems.
Fellowship honors SIAM members who have made outstanding contributions to the fields served by the SIAM. Andrew Knyazev was among a distinguished group of members nominated by peers and selected for the 2016 Class of Fellows.
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- Date: July 9, 2013
Where: International Journal of Control
MERL Contacts: Stefano Di Cairano; Matthew Brand; Scott A. Bortoff
Research Area: Control
Brief - The article "Projection-free Parallel Quadratic Programming for Linear Model predictive Control" by Di Cairano, S., Brand, M. and Bortoff, S.A. was published in International Journal of Control.
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- Date: June 10, 2013
Where: International Conference on Automated Planning and Scheduling (ICAPS)
MERL Contact: Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Operational Planning of Thermal Generators with Factored Markov Decision Process Models" by Nikovski, D. was presented at the International Conference on Automated Planning and Scheduling (ICAPS).
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- Date: March 14, 2013
Where: SIAM Journal of Scientific Computing Brief - The article "Absolute Value Preconditioning for Symmetric Indefinite Linear Systems" by Vecharynski, E. and Knyazev, A.V. was published in SIAM Journal of Scientific Computing.
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- Date: October 1, 2012
Where: Allerton Conference on Communication, Control, and Computing
MERL Contacts: Arvind Raghunathan; Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Global Optimization of Optimal Power Flow Using a Branch & Bound Algorithm" by Gopalakrishnan, A., Raghunathan, A.U., Nikovski, D. and Biegler, L.T. was presented at the Allerton Conference on Communication, Control, and Computing.
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- Date: December 12, 2011
Where: IEEE Conference on Decision and Control and European Control Conference (CDC-ECC)
MERL Contact: Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Construction of Embedded Markov Decision Processes for Optimal Control of Non-Linear Systems with Continuous State Spaces" by Nikovski, D. and Esenther, A. was presented at the IEEE Conference on Decision and Control and European Control Conference (CDC-ECC).
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- Date: August 4, 2011
Where: North American Power Symposium (NAPS)
MERL Contact: Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "State-space Approximate Dynamic Programming for Stochastic Unit Commitment" by Zhang, W. and Nikovski, D. was presented at the North American Power Symposium (NAPS).
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- Date: September 27, 2010
Where: IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES)
MERL Contact: Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Factored Markov Decision Process Models for Stochastic Unit Commitment" by Nikovski, D. and Zhang, W. was presented at the IEEE Conference on Innovative Technologies for an Efficient and Reliable Electricity Supply (CITRES).
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- Date: July 16, 2009
Where: Machine Learning
MERL Contact: Daniel N. Nikovski
Research Areas: Optmization, Data Analytics
Brief - The article "Fast Adaptive Algorithms for Abrupt Change Detection" by Nikovski, D.N. and Jain, A. was published in Machine Learning.
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- Date: June 23, 2007
Where: IEEE International Conference on Industrial Informatics
MERL Contact: Daniel N. Nikovski
Research Areas: Optmization, Data Analytics
Brief - The paper "Memory-Based Algorithms for Abrupt Change Detection in Sensor Data Streams" by Nikovski, D. and Jain, A. was presented at the IEEE International Conference on Industrial Informatics.
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- Date: September 1, 2006
Where: European Symposium on Algorithms (ESA)
MERL Contact: Matthew Brand Brief - The paper "Stochastic Shortest Paths Via Quasi-convex Maximization" by Nikolova, E., Kelner, J., Brand, M. and Mitzenmacher, M. was presented at the European Symposium on Algorithms (ESA).
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- Date: September 13, 2005
Where: International IEEE Conference on Intelligent Transportation Systems (ITSC)
MERL Contact: Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Univariate Short-Term Prediction of Road Travel Times" by Nikovski, D., Nishiuma, N., Goto, Y. and Kumazawa, H. was presented at the International IEEE Conference on Intelligent Transportation Systems (ITSC).
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- Date: July 3, 2005
Where: IEEE Antennas and Propagation Society International Symposium (AP-S International Symposium)
Research Area: Optimization
Brief - The paper "Sidelobe Minimization of Uniformly-Excited Sparse Linear Arrays using Exhaustive Search and Visual Browsing" by Leigh, D., Ryall, K., Lanning, T., Lesh, N., Miyashita, H., Hirata, K., Hara, Y. and Sakura, T. was presented at the IEEE Antennas and Propagation Society International Symposium (AP-S International Symposium).
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- Date: October 31, 2004
Where: IEEE Transactions on Automatic Control
MERL Contacts: Matthew Brand; Daniel N. Nikovski
Research Area: Optimization
Brief - The article "Exact Calculation of Expected Waiting Times for Group Elevator Control" by Nikovski, D. and Brand, M. was published in IEEE Transactions on Automatic Control.
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- Date: April 27, 2004
Where: Elevcon World Congress on Vertical Transportation Technologies (ELEVCON)
MERL Contacts: Matthew Brand; Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Risk-Averse Group Elevator Scheduling" by Brand, M.E. and Nikovski, D.N. was presented at the Elevcon World Congress on Vertical Transportation Technologies (ELEVCON).
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- Date: April 26, 2004
Where: IEEE International Conference on Robotics and Automation (ICRA)
MERL Contacts: Matthew Brand; Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Optimal Parking in Group Elevator Control" by Brand, M.E. and Nikovski, D.N. was presented at the IEEE International Conference on Robotics and Automation (ICRA).
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- Date: August 31, 2003
Where: Conference of the Institute of Electrical Engineers of Japan
MERL Contacts: Matthew Brand; Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "A Calculation Method of Car Arrival Time with Dynamic Programming in Elevator Group Control" by Suzuki, N., Iwata, M., Sasakawa, K., Komaya, K., Nikovski, D.N. and Brand, M.E. was presented at the Conference of the Institute of Electrical Engineers of Japan.
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- Date: August 8, 2003
Where: Conference on Uncertainty in Artificial Intelligence (UAI)
MERL Contacts: Matthew Brand; Daniel N. Nikovski
Research Area: Optimization
Brief - The paper "Marginalizing Out Future Passengers in Group Elevator Control" by Nikovski, D.N. and Brand, M.E. was presented at the Conference on Uncertainty in Artificial Intelligence (UAI).
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