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: Seminars at CECS

“DRAC: Designing RISC-V-based Accelerators for next generation Computers”

Speaker: Miquel Moreto

Date and Time: Wednesday, August 10, 11:00 am

Location: DBH 3011 OR Zoom Link

Abstract:

Designing RISC-V-based Accelerators for next-generation Computers (DRAC) is a 3-year project (2019-2022) funded by the ERDF Operational Program of Catalonia 2014-2020. DRAC will design, verify, implement and fabricate a high-performance general purpose processor that will incorporate different accelerators based on the RISC-V technology, with specific applications in the field of post-quantum security, genomics, and autonomous navigation.

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“Securing Hardware for Designing Trustworthy Systems”

Speaker: Prabhat Mishra

Date and Time: Tuesday, August 2, 2:00 pm

Location: DBH 4011 OR Zoom Link

Abstract:

System-on-Chip (SoC) is the brain behind computing and communication in a wide variety of embedded systems. Reusable hardware Intellectual Property (IP) based SoC design has emerged as a pervasive design practice in the industry to dramatically reduce SoC design and verification cost while meeting aggressive time-to-market constraints.

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“Electric Power to the People: Secure & Resilient Cyber-Physical Systems in the Age of Renewable Energy”

Speaker: Charalambos Konstantinou

Date and Time: Friday, July 15, 10:00 am

Location: EH 2430

Abstract:

Rapid advancements in power electronics along with the increasing penetration of distributed energy resources (DERs) are transforming the electric power grids. Furthermore, increasing types and number of loads and electric transportation are stressing the network. Overall, the power system is facing unprecedented changes in operation and control as more and diverse sources and loads are being connected to this complex cyber-physical energy system.

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“Anti-virus hardware: Applications in Embedded, Automotive and Power Systems Security”

Speaker: Kanad Basu

Date and Time: Tuesday, June 7, 2:00 pm

Location: Zoom https://uci.zoom.us/j/97807443602

Abstract:

Anti-virus software (AVS) tools are used to detect Malware in a system. However, software-based AVS are vulnerable to attacks. A malicious entity can exploit these vulnerabilities to subvert the AVS. Recently, hardware components such as Hardware Performance Counters (HPC) have been used for Malware detection, in the form of Anti-virus Hardware (AVH).

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“Runtime Monitoring of Distributed Cyber-physical Systems”

Speaker: Borzoo Bonakdarpour

Date and Time: Monday, May 23, 2022 at 2:00 pm

Location: DBH 3011

Abstract: 

We consider the problem of detecting violations of specification In the signal temporal logic over distributed continuous-time and continuous-valued signals in cyber-physical systems (CPS). We assume a partially synchronous setting, where a clock synchronization algorithm guarantees a bound on clock drifts among all signals.

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“Beyond Approximate Computing: Quality-Scalability for Low-Power Embedded Systems and Machine Learning”

Speaker: Younghyun Kim

Date and Time: Tuesday, May 17, 2022 at 2:00 p.m.

Location: Zoom https://uci.zoom.us/j/98632011722

Abstract:

Approximate computing is a new paradigm to accomplish energy-efficient computing in this twilight of Moore’s law by relaxing the exactness requirement of computation results for intrinsically error-resilient applications, such as deep learning and signal processing, and producing results that are “just good enough.” It exploits that the output quality of such error-resilient applications is not fundamentally degraded even if the underlying computations are greatly approximated.

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“Bridging the Gap between Algorithm and Architecture”

Speaker: Biresh Kumar Joardar

Date/Time: Thursday, September 23, 2021

Location: Zoom

Abstract: 

Advanced computing systems have long been enablers for breakthroughs in Machine Learning (ML). However, as ML algorithms become more complex and size of the datasets increase, existing computing platforms are no longer sufficient to bridge the gap between algorithmic innovation and hardware design. For example, DNN training can be accelerated on GPUs.

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“Intermittent Learning on Harvested Energy”

Speaker: Shahriar Nirjon

Date/Time: Thursday, September 2, 2021 from 9am-10am

Location: Zoom

Abstract:

Years of technological advancements have made it possible for small, portable, electronic devices of today to last for years on battery power, and last forever – when powered by harvesting energy from their surrounding environment. Unfortunately, the prolonged life of these ultra-low-power systems pose a fundamentally new problem.

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“Answering Multi-Dimensional Analytical Queries under Local Differential Privacy”

Name: Tianhao Wang

Date and Time: Thursday, February 27, 2020

Location: Engineering Hall 2430

Abstract:

When collecting information, local differential privacy (LDP) relieves users’ privacy concerns, as it adds noise to users’ private information.  The LDP technique has been deployed by Google, Apple, and Microsoft for data collection and monitoring.  In this talk, I will share the key algorithms we developed in a Chinese e-commercial company Alibaba. 

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“Energy-Aware Data Center Management: Monitoring Trends and Insights via Machine Learning”

Name: Hayk Shoukourian

Date and Time: Friday, November 15, 2019

Location: Donald Bren Hall 3011

Abstract:

The increasing demand for online resources has led to an immense energy burden on contemporary
High Performance Computing (HPC) and cloud data centers. Even though each new generation of HPC systems delivers a higher power efficiency, the growth in system density and overall performance has continuously contributed to an increase in energy consumption.

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