SystemX

SystemX Seminar: Efficient battery usage for wireless IoT nodes

Topic: 
Efficient battery usage for wireless IoT nodes: Battery lifetime prediction
Abstract / Description: 

The prediction of the life-time of battery-powered IoT devices and wireless sensor networks is almost exclusively based on the assumption that the total charge in a battery (i.e. the mA-h) can be linearly consumed in time. This is not the case in reality. Batteries are complex electro-chemical systems and their discharge behavior depends heavily on the timing and intensity of the applied load. There is very little empirical data or reliable models available for these kinds of batteries and loads that are typically used in IoT sensor nodes for very long operational time, 5 -10 years.

We characterize the inexpensive CR2032 Li-coin cells using carefully controlled synthetic loads and a wide range of IoT-typical load parameters. We observe that actual lifetimes can differ from predicted linear ones by almost a factor of three. Furthermore, loads with similar average currents can vary significantly in the amount of capacity of the battery they can utilize. We conclude that short duration loads generally are faring better than sustained loads which was not anticipated. We suggest a better prediction model, that captures the non-linear short duration behavior, which can be implemented in constrained IoT devices.

Date and Time: 
Thursday, November 16, 2017 - 4:30pm
Venue: 
Huang 018

SystemX Seminar: Reconfigurable platforms, the thirst for bandwidth, and the future of computing

Topic: 
Reconfigurable platforms, the thirst for bandwidth, and the future of computing
Abstract / Description: 

Today, designers of specialized systems are increasingly tantalized by the enormous energy efficiency of custom silicon solutions...but are just as turned off by the spiraling costs of building and verifying those very chips. Enter the FPGA, a reconfigurable substrate that would be the absolutely perfect solution were it not for two common conventional wisdoms: they're impossible to build, and impossible to use. In this talk we will discuss the motivation and context of FPGAs, notably from the perspective of IO circuits, and what interesting problems and solutions they pose to designers and users.

Date and Time: 
Thursday, November 9, 2017 - 4:30pm
Venue: 
Huang 018

SystemX Seminar: Efficient Machine Learning Hardware Design: From High-Throughput Computer Vision to Ultra-Low-Power Biomedical Applications

Topic: 
Efficient Machine Learning Hardware Design: From High-Throughput Computer Vision to Ultra-Low-Power Biomedical Applications
Abstract / Description: 

In recent years, deep learning algorithms have been widespread across many practical applications. Algorithms trained by offline back propagation using pre-defined datasets show impressive performance, but state-of-the-art algorithms are compute-/memory-intensive, making it difficult to perform low-power real-time classification, especially on area-/power-constrained embedded hardware platforms.

In this talk, we present our recent research on how hardware designs of machine learning algorithms are efficiently customized for two divergent applications. These include deep convolutional neural networks (VGG, ResNet) for high-throughput image/video applications (e.g. autonomous driving), and compressed neural networks for ECG-based ultra-low-power biomedical applications (e.g. wearable devices). Our FPGA and ASIC prototype designs are presented that improve the energy-efficiency by optimizing computation, memory, and communication for representative neural networks.

Date and Time: 
Thursday, November 2, 2017 - 4:30pm
Venue: 
Huang 018

SystemX Alliance Fall Conference - Nov 14-16

Topic: 
SystemX Alliance Fall Conference
Abstract / Description: 

Tuesday, Nov 14 (Day 1) - starts with a SystemX overview given by Prof. Boris Murmann and Prof. Philip Wong, SystemX's faculty directors. This will be followed by overviews of our Focus Areas by their respective faculty leaders. Breakout sessions for the Bio Interfaces and Design Productivity Focus Areas will follow in the afternoon. The day concludes with an FMA student poster session / industry mixer, reception from 4:30 -6:00 pm.

Wednesday, Nov 15 (Day 2) - begins with topical presentations on research into Machine Learning at Stanford. The intention is to be well rounded, and present the challenges as well as the opportunities to be found in ML. The afternoon will hold three breakout sessions for the Computation for Data Analytics, for the Heterogeneous Integration, and for the Photonic & Quantum Technologies Focus Areas, after which member company representatives will assemble for our Business Meeting. The day concludes with the SystemX Dinner also at the Li Ka Shing Center.

Our featured speaker at dinner will be Dr. Wally Rhines, President & CEO of Mentor Graphics, a Siemens business

Thursday, Nov 16 (Day 3) - will hold two breakout sessions in the morning for the Energy/Power Management Systems, as well as, the Internet of Everything Focus Areas. This final day will end at noon.

On Tues and Wed, the conference will be held at the Li Ka Shing Center. The Thursday morning sessions will be held in the Allen buildings. Please consult the preliminary agenda for more details.

 

 

PRELIMINARY SYSTEMX NOVEMBER CONFERENCE AGENDA

PARKING INSTRUCTIONS FOR GALVEZ LOT

PARKING AND CONFERENCE MAP

Date and Time: 
Tuesday, November 14, 2017 (All day) to Thursday, November 16, 2017 (All day)
Venue: 
Li Ka Shing Conference Center, Stanford University

The Vision and AI Startup Landscape: Dispatches from the Entrepreneurial Front Lines [SystemX Seminar]

Topic: 
The Vision and AI Startup Landscape: Dispatches from the Entrepreneurial Front Lines
Abstract / Description: 

No recent technology trend has attracted as much hype as deep neural networks. Thousands of startups have attached themselves to the AI wave, chasing opportunities for new cloud applications for business and social media, new system platforms like self-driving cars, and new silicon platforms. In this talk, we deconstruct the major technologies and end-system functions and examine what startups and applications are most likely to succeed, where entrepreneurship is thriving, and how deep learning innovations in real-time voice and vision, in convolutional, recurrent and generative network structures, and in new high-efficiency neural processor architectures are likely to shape future systems.

Date and Time: 
Thursday, September 28, 2017 - 4:30pm
Venue: 
Huang 018

Maximizing Server Efficiency: from microarchitecture to machine-learning accelerators [SystemX Seminar]

Topic: 
Maximizing Server Efficiency: from microarchitecture to machine-learning accelerators
Abstract / Description: 

Datacenter servers have emerged as the predominant computing platform, impacting nearly every aspect of our daily lives. The need to study, understand, and improve server systems has been the main driver of my research career. I will begin this talk with a brief overview of our work on the CloudSuite benchmarks and Dark Silicon in Servers, which identified a number of challenges and opportunities for server architecture. Then, I will describe how these results have led to our work on Scale-Out Processors and Temporal Memory Streaming, and dive deeper into my students' recent results on instruction sequence memorization and FPGA-based accelerators for machine learning.

Date and Time: 
Tuesday, October 3, 2017 - 4:30pm
Venue: 
Huang 018

Satisfiability Modulo Theories [SystemX Seminar]

Topic: 
Satisfiability Modulo Theories
Abstract / Description: 

I will give an introduction to Satisfiability Modulo Theories (SMT) solvers, including the DPLL(T) architecture that combines a Boolean satisfiability (SAT) solver with a theory solver, techniques for building individual theory solvers, and techniques for theory combination. I will also cover some applications of SMT solvers, including symbolic execution and equivalence checking.

Date and Time: 
Thursday, October 5, 2017 - 4:30pm
Venue: 
Huang 018

Quantum Computing: State of the Art and Industrial Applications [SystemX Seminar]

Topic: 
Quantum Computing: State of the Art and Industrial Applications
Abstract / Description: 

Theoretically, quantum computation has shown a significant asymptotic runtime enhancement in the performance of specific calculations when compared to their classical counterparts. By leveraging entanglement in multipartite quantum systems as a computational resource, it is hoped that quantum computers will find widespread utility in industry. In this talk I will present an overview of quantum computation with a focus on the scientific and technological advancements that could make quantum computers a reality. Special attention will be given to superconducting qubits as a promising hardware platform that can be fabricated by standard CMOS processes.

Date and Time: 
Thursday, October 12, 2017 - 4:30pm
Venue: 
Huang 018

Ultrasound & Breast Cancer Detection [SystemX Seminar]

Topic: 
Ultrasound & Breast Cancer Detection
Abstract / Description: 

Each year it is estimated that over 250,000 women in the United States will be diagnosed with breast cancer and more than 40,000 will die. Breast cancer is the most commonly diagnosed cancer in women and is the second leading cause of cancer death among women. According to the World Health Organization, breast cancer is the most common cancer among women worldwide, claiming the lives of hundreds of thousands of women each year and affecting countries at all levels of modernization. Population based screening has been successful in the early detection of some cancers, including cervical, colon, and breast. However, the success in mortality reduction by screening mammography has been limited in women with mammographically dense tissue. Ultrasound has the potential to be an ideal screening tool because it is relatively inexpensive and requires no injected contrast or ionizing radiation. However, the relatively poor conspicuity of some cancers by hand scanning and the considerable radiologist time necessary limit its use. Automated breast ultrasound (ABUS) allows the radiologist to read the images quickly, and separates image acquisition from interpretation, allowing for efficient screening workflow. Several studies using automated breast ultrasound show that adding ABUS to mammography significantly increases the cancer detection rate compared to mammography alone, and triples the 1 cm-or-less invasive cancers found in dense-breasted women.

Date and Time: 
Thursday, October 19, 2017 - 4:30pm
Venue: 
Huang 018

SystemX Seminar Networks and Mobility

Topic: 
Networks and Mobility: How Wi-Fi, SDN and machine learning are transforming enterprise networks
Abstract / Description: 

Enterprise access networks are going through a fundamental shift away from fixed, desk-centric networking to a mobile-first network architecture. The drivers for such a shift are obvious in our reliance on mobile devices for our daily tasks. In this discussion, we will focus on the unique use cases that are influencing the evolution of enterprise mobility including location-based services. Newer use cases around the intersection of mobility and IOT are also changing how we think of enabling and securing enterprise networks. Traditional policy-based models no longer suffice and need to be augmented with machine learning and AI based models of security. The same ideas are also being applied for proactive service assurance for mission-critical applications – critical in a SaaS-based solution that delivers the network as a service. We will discuss these and many other topics related to mobility in the enterprise.

Date and Time: 
Thursday, October 26, 2017 - 4:30pm
Venue: 
Huang 018

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