June 2021 - talks - lists.cs.princeton.edu

REVISED ABSTRACT: Nayana Prasad Nagendra will present her FPO "Improving Instruction Cache Performance For Modern Processors With Growing Workloads" on Wednesday, June 30, 2021 at 10AM via Zoom.
by jfarquer＠cs.princeton.edu 25 Jun '21

25 Jun '21

Nayana Prasad Nagendra will present her FPO "IMPROVING INSTRUCTION CACHE PERFORMANCE FOR MODERN PROCESSORS WITH GROWING WORKLOADS" on Wednesday, June 30, 2021 at 10AM via Zoom. Zoom link: https://princeton.zoom.us/j/92249108132 The members of her committee are as follows: David August (Adviser); Readers: David August and Tipp Moseley (Google); Examiners: David August, David Wentzlaff, Sharad Malik. A copy of her thesis is available upon request. Please email gradinfo(a)cs.princeton.edu <mailto:gradinfo@cs.princeton.edu> if you would like a copy of the thesis. Everyone is invited to attend the talk. Abstract follows below: "The performance of warehouse-scale computing has a considerable financial and environmental impact. Our work with Google shows that more than two-thirds of the CPU cycles are wasted even after the extensive optimizations used today. Of these wasted cycles, nearly 20% are due to the processor front-end. In the first part of this talk, I will present the details of our fleet-wide study of Google workloads, a study we believe to be the first to explore front-end behavior at the warehouse scale. In the second part of this talk, I will present EMISSARY, a new instruction cache replacement algorithm designed to reduce these observed front-end stalls. By exploiting the fact that not all cache misses cause stalls, EMISSARY reserves cache capacity for lines whose misses cause the most performance impact. EMISSARY outperforms all measured instruction cache replacement algorithms in both performance and energy consumption. In some cases, it produces speedups that exceed Belady's OPT, the perfect-knowledge minimal miss ideal cache replacement algorithm."

1 0

Nayana Prasad Nagendra will present her FPO "IMPROVING INSTRUCTION CACHE PERFORMANCE FOR MODERN PROCESSORS WITH GROWING WORKLOADS" on Wednesday, June 30, 2021 at 10AM via Zoom.
by jfarquer＠cs.princeton.edu 25 Jun '21

25 Jun '21

Nayana Prasad Nagendra will present her FPO "IMPROVING INSTRUCTION CACHE PERFORMANCE FOR MODERN PROCESSORS WITH GROWING WORKLOADS" on Wednesday, June 30, 2021 at 10AM via Zoom. Zoom link: https://princeton.zoom.us/j/92249108132 The members of her committee are as follows: David August (Adviser); Readers: David August and Tipp Moseley (Google); Examiners: David August, David Wentzlaff, Sharad Malik. A copy of her thesis is available upon request. Please email gradinfo(a)cs.princeton.edu <mailto:gradinfo@cs.princeton.edu> if you would like a copy of the thesis. Everyone is invited to attend the talk. Abstract follows below: The performance of warehouse-scale computing has a considerable financial and environmental impact. Our work with Google shows that more than two-thirds of the CPU cycles are wasted even after the extensive optimizations used today. Of these wasted cycles, nearly 20% are due to the processor front-end. In the first part of this talk, I will present the details of our fleet-wide study of Google workloads, a study we believe to be the first to explore front-end behavior at the warehouse scale. In the second part of this talk, I will present EMISSARY, a new instruction cache replacement algorithm designed to reduce these observed front-end stalls. By exploiting the fact that not all cache misses cause stalls, EMISSARY reserves cache capacity for lines whose misses cause the most performance impact. EMISSARY outperforms all known cache replacement algorithms in both performance and energy consumption. In some cases, it produces speedups that exceed Belady's OPT, the perfect-knowledge minimal miss ideal cache replacement algorithm.

1 0

Note Time Change: ECE Princeton Wireless Distinguished Seminar Series: Peter Vetter, Nokia Bell Labs - Monday, June 28th at 10:45am
by Emily C. Lawrence 24 Jun '21

24 Jun '21

Please note time change – 10:45am ECE Princeton Wireless Distinguished Seminar Series Speaker: Peter Vetter, Nokia Bell Labs Title: 6G – The Essential Infrastructure to Augment Human Potential at Scale Day: Monday, June 28, 2021 Time: 10:45am ET Host: Yasaman Ghasempour Please register here: [ https://princeton.zoom.us/meeting/register/tJ0kdeuvrDMqGtfvJXLX1p22lKKQm3x4… | https://princeton.zoom.us/meeting/register/tJ0kdeuvrDMqGtfvJXLX1p22lKKQm3x4… ] Abstract: 5G will increase human productivity thanks to the critical connectivity between man and machines or vehicles. The deployment of sensors and augmented intelligence closes the loop and increasingly automates operations, thereby freeing humans to focus on the tasks that they do well. A digital world that perfectly captures the past and current states of the physical world is emerging, however, the connectivity with the human biological and cognitive worlds still needs to be addressed. We anticipate that in the 6G era, there will be a need to deploy sensors and cognitive technologies at a much larger scale with stringent deterministic connectivity requirements. In the talk, we will share our vision how 6G era will be defined by the symbiosis of digital, physical, and biological worlds with the goal to augment human potential and wellbeing. We will then address the challenges for the 6G network, which will be the essential infrastructure for the integration of these future capabilities. Bio: Peter Vetter has recently been nominated President of Bell Labs Core Research at Nokia and is Bell Labs Fellow. He is leading an eminent global research organization with the mission to invent game changing innovations that define the future of networks, including network systems and security, optical systems, radio systems, and platforms & ASICs. In his previous role as Head of Access Research Lab, he and his teams have realized several world-first system demonstrations in access and successfully transferred industry leading concepts into product. He was also co-founder of an internal venture that produced the first FTTH product in Alcatel. He received the degree of Physics Engineer from Gent University (Belgium) in 1986 and a PhD with Prof. H. Pauwels in 1991. After a post-doctoral fellowship with Prof. T. Uchida at Tohoku University (Japan), he joined the research center of Alcatel (now Nokia) in Antwerp in 1993. Since 2009, he has worked at Bell Labs in Murray Hill, New Jersey, and has been on the senior leadership team of Bell Labs since 2013. He has authored over a hundred international papers and presented keynotes and tutorials at major technical industry events.

1 0

ECE Princeton Wireless Distinguished Seminar Series: Peter Vetter, Nokia Bell Labs - Monday, June 28
by Emily C. Lawrence 22 Jun '21

22 Jun '21

ECE Princeton Wireless Distinguished Seminar Series Speaker: Peter Vetter, Nokia Bell Labs Title: 6G – The Essential Infrastructure to Augment Human Potential at Scale Day: Monday, June 28, 2021 Time: 10:30am ET Host: Yasaman Ghasempour Please register here: [ https://princeton.zoom.us/meeting/register/tJ0kdeuvrDMqGtfvJXLX1p22lKKQm3x4… | https://princeton.zoom.us/meeting/register/tJ0kdeuvrDMqGtfvJXLX1p22lKKQm3x4… ] Abstract: 5G will increase human productivity thanks to the critical connectivity between man and machines or vehicles. The deployment of sensors and augmented intelligence closes the loop and increasingly automates operations, thereby freeing humans to focus on the tasks that they do well. A digital world that perfectly captures the past and current states of the physical world is emerging, however, the connectivity with the human biological and cognitive worlds still needs to be addressed. We anticipate that in the 6G era, there will be a need to deploy sensors and cognitive technologies at a much larger scale with stringent deterministic connectivity requirements. In the talk, we will share our vision how 6G era will be defined by the symbiosis of digital, physical, and biological worlds with the goal to augment human potential and wellbeing. We will then address the challenges for the 6G network, which will be the essential infrastructure for the integration of these future capabilities. Bio: Peter Vetter is Head of the A-Lab (Access research lab) at Nokia Bell Labs and Bell Labs Fellow. He is leading an eminent global team with the mission to invent game changing innovations that define the future of mobile and fixed access. Under his leadership, he and his teams have realized several world-first system demonstrations in access and successfully transferred industry leading concepts into product. He was also co-founder of an internal venture that produced the first FTTH product in Alcatel. He received the degree of Physics Engineer from Gent University (Belgium) in 1986 and a PhD with Prof. H. Pauwels in 1991. After a post-doctoral fellowship with Prof. T. Uchida at Tohoku University (Japan), he joined the research center of Alcatel (now Nokia) in Antwerp in 1993. Since 2009, he has worked at Bell Labs in Murray Hill, New Jersey, and has been on the senior leadership team of Bell Labs since 2013. He has authored over a hundred international papers and presented keynotes and tutorials at major technical industry events.

1 0

ECE Princeton Wireless Distinguished Seminar Series - Ozge Koymen, Qualcomm, TODAY at 1:30pm
by Emily C. Lawrence 17 Jun '21

17 Jun '21

Speaker: Ozge Koymen, Qualcomm Title: Qualcomm: Past, Present and Future of 5G Millimeter Wave Day: Thursday, June 17, 2021 Time: 1:30 pm ET Host: Yasaman Ghasempour (ECE) Event page: [ https://ece.princeton.edu/events/qualcomm-past-present-and-future-5g-millim… | https://ece.princeton.edu/events/qualcomm-past-present-and-future-5g-millim… ] Please register here: https://princeton.zoom.us/meeting/register/tJYvcuupqzIrGda2rjcGma_8FzK3QRUa… j Abstract: After more than a decade of advanced R&D and ecosystem trials, commercial 5G mmWave service is now available in more than 55 U.S. cities and 160 areas in Japan. Looking forward, we expect 5G mmWave to expand into new geographic regions across the globe, and new device types and tiers will emerge to take full advantage of mmWave’s virtually unlimited capacity. On the research front, Qualcomm continues to push the technology boundaries of mmWave for 5G/6G by bringing new capabilities and enhancements. Join this seminar to: * Review the key technical achievements and milestones at Qualcomm that enabled the commercialization of 5G mmWave systems. * See our vision for 5G mmWave and the new opportunities it poises to bring for the broader ecosystem. * Learn about the mmWave capabilities and enhancements coming in 3GPP Release -17 and beyond (e.g. Integrated Access and Backhaul, 60GHz and beyond, IIOT, etc.). * Track the latest update on the global commercial rollout of 5G mmWave networks and devices. Bio: Ozge Koymen is a Senior Director of Technology at Qualcomm Technologies, Inc. where he has been since 2006. He has led the 5G millimeter-wave program within Qualcomm R&D since early 2015, from early conceptual evaluation to commercial deployment. His previous areas as a technical contributor includes Wireless Backhaul, Small Cells, LTE-D, LTE and UMB. Prior to Qualcomm, he was a member of Flarion Technologies developing a pioneering OFDMA cellular system, Flash-OFDM, during 2003-2006. His earlier work experience includes full-time and consulting work for Impinj, Inc. (2000-2003) and TRW (1996-2000). He received the B.S. in Electrical and Computer Engineering from Carnegie Mellon University in 1996 and the M.S. and Ph.D. in Electrical Engineering from Stanford University in 1997 and 2003, respectively.

1 0

Alexander Upjohn Beatson will present his FPO "Learned surrogates and stochastic gradients for accelerating numerical modeling, simulation, and design" on Monday, June 21, 2921 at 12:00PM via Zoom.
by jfarquer＠cs.princeton.edu 14 Jun '21

14 Jun '21

Alexander Upjohn Beatson will present his FPO "Learned surrogates and stochastic gradients for accelerating numerical modeling, simulation, and design" on Monday, June 21,2921 at 12:00PM via Zoom. Zoom link: <https://www.google.com/url?q=https://princeton.zoom.us/j/99943194862&sa=D&s ource=calendar&usd=2&usg=AOvVaw0Ms6SOxf6CBLWGJW0mt45e> https://princeton.zoom.us/j/99943194862 The members of Alexander's committee are as follows: Ryan Adams (adviser); Readers: Szymon Rusinkiewicz, Sigrid Adriaenssens; Examiners: Ryan Adams, Elad Hazan, Mark Girolami (Cambridge University) A copy of Alex's thesis is available upon request. Please email gradinfo(a)cs.princeton.edu <mailto:gradinfo@cs.princeton.edu> if you would like a copy of the thesis. Everyone is entitled to attend his talk. Abstract follows below: Numerical methods, such as discretization-based methods for solving ODEs and PDEs, allow us to model and design complex devices, structures, and systems. However, this is often very costly in terms of both computation and the time of the expert who must specify the physical model, the discretization, the solver, etc. In this talk I will present a line of work using deep learning and stochastic gradient estimation to speed up solution and optimization of systems characterized by such numerical methods. First, I will present composable energy surrogates, in which neural surrogates are trained to model a potential energy in sub-components or sub-domains of a PDE, and then composed or stitched together to solve a larger system by minimizing the sum of potentials across components. This allows surrogate modeling without costly ground-truth simulation of the full system, as training data are generated by performing finite element analysis with individual components. We show that these surrogates can accelerate simulation of parametric meta-materials and produce accurate macroscopic behavior when composed. Next, I will discuss randomized telescoping gradient estimators, which provide unbiased gradient estimators for objectives which are the limit of a sequence of increasingly accurate, increasingly costly approximations. These estimators represent the limit as a telescoping sum and sample linear combinations of terms to provide cheap unbiased estimates. We discuss conditions which permit finite variance and computation, optimality of certain estimators within this class, and application to problems in numerical modeling and machine learning. Finally, I will discuss meta-learned implicit PDE solvers, which allow a new API for surrogate modeling. These models condition on a functional representation of a PDE and its domain by directly taking as input the PDE constraint and a method which returns samples in the domain and on the boundary. By avoiding having to fix a parametric basis, this allows fitting surrogate models for classes of PDEs with arbitrarily varying geometry and governing equations. It also does not require supervision from expensive ground-truth or FEA solutions. We apply Meta-PDE to a nonlinear Poisson problem, and show it learns to solve PDEs accurately and quickly across different boundary conditions, governing equations, and problem geometries. The resulting meta-model solves these PDEs much faster than FEA methods which achieve similar accuracy.

1 0

ECE Princeton Wireless Distinguished Seminar Series - Ozge Koymen, Qualcomm, Thursday, June 17 at 1:30pm
by Emily C. Lawrence 11 Jun '21

11 Jun '21

Speaker: Ozge Koymen, Qualcomm Title: Qualcomm: Past, Present and Future of 5G Millimeter Wave Day: Thursday, June 17, 2021 Time: 1:30 pm ET Host: Yasaman Ghasempour (ECE) Event page: [ https://ece.princeton.edu/events/qualcomm-past-present-and-future-5g-millim… | https://ece.princeton.edu/events/qualcomm-past-present-and-future-5g-millim… ] Please register here: [ https://princeton.zoom.us/meeting/register/tJYvcuupqzIrGda2rjcGma_8FzK3QRUa… | https://princeton.zoom.us/meeting/register/tJYvcuupqzIrGda2rjcGma_8FzK3QRUa… ] Abstract: After more than a decade of advanced R&D and ecosystem trials, commercial 5G mmWave service is now available in more than 55 U.S. cities and 160 areas in Japan. Looking forward, we expect 5G mmWave to expand into new geographic regions across the globe, and new device types and tiers will emerge to take full advantage of mmWave’s virtually unlimited capacity. On the research front, Qualcomm continues to push the technology boundaries of mmWave for 5G/6G by bringing new capabilities and enhancements. Join this seminar to: * Review the key technical achievements and milestones at Qualcomm that enabled the commercialization of 5G mmWave systems. * See our vision for 5G mmWave and the new opportunities it poises to bring for the broader ecosystem. * Learn about the mmWave capabilities and enhancements coming in 3GPP Release -17 and beyond (e.g. Integrated Access and Backhaul, 60GHz and beyond, IIOT, etc.). * Track the latest update on the global commercial rollout of 5G mmWave networks and devices. Bio: Ozge Koymen is a Senior Director of Technology at Qualcomm Technologies, Inc. where he has been since 2006. He has led the 5G millimeter-wave program within Qualcomm R&D since early 2015, from early conceptual evaluation to commercial deployment. His previous areas as a technical contributor includes Wireless Backhaul, Small Cells, LTE-D, LTE and UMB. Prior to Qualcomm, he was a member of Flarion Technologies developing a pioneering OFDMA cellular system, Flash-OFDM, during 2003-2006. His earlier work experience includes full-time and consulting work for Impinj, Inc. (2000-2003) and TRW (1996-2000). He received the B.S. in Electrical and Computer Engineering from Carnegie Mellon University in 1996 and the M.S. and Ph.D. in Electrical Engineering from Stanford University in 1997 and 2003, respectively.

1 0

Orestis Plevrakis will present his Pre-FPO talk "New Exploration and Identification schemes for Linear Dynamics: the cases of Convex costs and Censored Data" on Wednesday, June 9, 2021 at 2PM via zoom.
by jfarquer＠cs.princeton.edu 04 Jun '21

04 Jun '21

Orestis Plevrakis will present his Pre-FPO talk "New Exploration and Identification schemes for Linear Dynamics: the cases of Convex costs and Censored Data" on Wednesday, June 9, 2021 at 2PM via Zoom. Zoom link: https://princeton.zoom.us/j/99277010909 Committee: Examiners: Sanjeev Arora (advisor), Mark Braverman, and Chi Jin (ECE) Readers: Elad Hazan and Jason D. Lee (ECE) All are welcome to attend. Title: "New Exploration and Identification schemes for Linear Dynamics: the cases of Convex costs and Censored Data" Abstract: Adaptive control, i.e., learning to control an unknown linear dynamical system, has a long history in statistics and control theory. However, sharp non-asymptotic bounds were only recently obtained, and are outputs of an ongoing research program aiming to apply tools from learning theory and optimization, to control theory. A common feature of all the major results of the program has been the learning-part of the proposed algorithms, i.e., the exploration strategy. All these algorithms apply the so-called "certainty-equivalence", where the learner spends the first steps applying random controls (e.g. Gaussian noise), then estimates the dynamics via least-squares, and thereafter optimizes the control-policy using these estimates. Even though this is the simplest exploration strategy, it is optimal for the classical linear quadratic regulator (LQR). In this thesis, I study 1) the problem of adaptive control when the cost can be any convex function (thus generalizing LQR), and 2) the problem of learning a linear dynamical system (LDS) from "censored" observations, i.e., the state is observed only when it falls inside some set (e.g., the state can be the position of an object and the set can be the camera-frame). For the first problem, certainty-equivalence is suboptimal. For the second, the least-squares solution is not even consistent. The contribution of the thesis is the development of new computationally and statistically efficient algorithms for both problems. Specifically, 1. For adaptive control with convex costs, we consider the objective of regret with respect to the benchmark of stabilizing linear control policies. Leveraging ideas from convex geometry, we design an exploration strategy that achieves optimal regret, in terms of the dependence on the time-horizon. Our result improves upon the previous best known bounds, which correspond to algorithms applying certainty-equivalence. 2. In the problem of learning an LDS from censored observations, the learner observes the state $x_t \in \R^d$ if and only if $x_t$ belongs to some set $S_t \subseteq \R^d$. This setting was first considered by Lee and Maddala (1985), and Zeger and Brookmeyer (1986). We develop the first computationally and statistically efficient algorithm for learning the system, assuming only membership-oracle access to the sets $S_t$ (which can be arbitrarily complex sets, e.g., non-convex). Our algorithm, Stochastic Online Newton with Switching Gradients, is a novel second-order method that builds on the Online Newton Step of Hazan et al. (2007).

1 0