2020 International Conference On Computer Aided Design

The Premier Conference Devoted to Technical Innovations in Electronic Design Automation

November 2-5, 2020VIRTUAL CONFERENCE

MP Associates, Inc.
MONDAY November 02, 9:30am - 11:30am | Slot 5
ACM Student Research Competition at ICCAD 2020

The ACM Student Research Competition (SRC), sponsored by Microsoft, offers a unique forum for undergraduate and graduate students to present their original research at well-known ACM sponsored and co-sponsored conferences before a panel of judges and attendees. The ICCAD-edition of SRC features the following students and topics which are presented within three parallel sessions:

Session 1:

* Chuangtao Chen: Optimally Approximated Floating-Point Multiplier

* Sergi Alcaide, Leonidas Kosmidis, Carles Hernandez and Jaume Abella: Scheduling policies to enable GPUs for Critical Real-Time Automotive Systems

* Alejandro Calderón and Leonidas Kosmidis: GMAI: An Open Source Tool for Inspecting the Internals of GPU Memory Allocators

* Ivan Rodiguez-Ferrandez and Leonidas Kosmidis: An On-board Algorithm Implementation on an Embedded GPU: A Space Case Study

* Marc Benito and Leonidas Kosmidis: Evaluation of Graphics-based General Purpose Computation Solutions for Safety Critical Systems: An Avionics Case

* Namiko Matsumoto, Anthony Thomas and Tajana Rosing: Hyperdimensional Computing and Spectral Learning

* Anish Krishnakumar: An Intelligent Scheduling Paradigm for Heterogeneous Systems-on-Chip

* Chen Chen, Zirui Tao and Joshua San Miguel: Bufferless NoCs with Scheduled Deflection Routing information

* Mahabubul Alam and Swaroop Ghosh: Analysis and Optimization Methodologies for Quantum Approximate Optimization Algorithm

* Yuan-Hung Tsai, Jie-Hong R. Jiang and Chiao-Shan Jhang: Bit-Slicing the Hilbert Space: Scaling Up Accurate Quantum Circuit Simulation to a New Level

* Thomas Grurl and Robert Wille: Realistic and Efficient Simulation of Quantum Circuits Using Decision Diagrams

Session 2:

* Hao Geng and Bei Yu: Feature Learning in VLSI CAD

* Mingfei Yu and Masahiro Fujita: Parallel Scheduling Modern Deep Learning Implementations

* Bentian Jiang AIDA: Artificial Intelligence and Design Automation with Case Study on Layout-level Optimizations

* Sumit K. Mandal: Towards Efficient Hardware Architecture with Optimized Interconnect for DNNs

* Jiaqi Gu and David Z. Pan: Light in Artificial Intelligence: Efficient Neuromorphic Computing with Optical Neural Networks

* Mojan Javaheripi, Mohammad Samragh and Farinaz Koushanfar: Accelerated Shields for Safe and Robust Embedded Deep Learning

* Aryan Chaudhary and Saikat Mukhopadhyay: Artificial Intelligence in Health Sector

* Zihao Yuan and Ayse Coskun: Energy-Efficient Cooling Optimization Framework via Deep Learning

* Jun-Shen Wu, Chi-En Wang and Ren-Shuo Liu: Value-Aware Error Detection and Correction for SRAM Buffersin Low-Bitwidth, Floating-Point CNN Accelerators

* Shreyas Kolala Venkataramanaiah and Jae-Sun Seo FPGA-based Energy-Efficient CNN Training Accelerator

Session 3:

* Xing Zhang and Xiaotong Cui: Use Graph-theoretic Models to Build and Optimize Trustworthy SoCs 

* Lilas Alrahis and Hani Saleh: Novel Attack and Defense Strategies for Enhanced Logic Locking Security

* Debayan Das: Generic Low-overhead Electromagnetic and Power Side-Channel Attack Protection through Ground-Up Root-cause Analysis 

* Mark Tressler and Kevin Sipple: A Flexible Framework for Attack and Defense Optimality in Split Manufacturing

* Nimisha Limaye: Security Assessment of Scan Locking Techniques for Design IP Protection

* Nithyashankari Gummidipoondi Jayasankaran, Adriana Sanabria-Borbon, Edgar Sanchez-Sinencio, Jiang Hu and Jeyavijayan Rajendran: Analog IP Protection and Evaluation

* Ai Quoc Dao: Gate-level Verification and ECO for Functional Safety

* Muhammad Usama Sardar: Formal Foundations for Remote Attestation in Intel SGX

* Shu-Ting Cheng: NBTI-Aware Heterogeneous Multi-Core System Design: An Energy-Efficient Standby-Sparing System Approach

* Alvaro Jover-Alvarez and Leonidas Kosmidis: Evaluation of the Computational Capabilities of High-Performance Heterogeneous Embedded Platforms for Safety Critical Systems

For complete details visit https://www.sigda.org/sigda-events/src/