Seminars

Mitigating Microarchitectural Vulnerabilities to Improve Cloud Security and Reliability

Efficient Data Movement for Accelerating Data-Intensive Applications

Achieving Security and Privacy via Encrypted Architectures

SafeBet: A Simple, Secure and Fast Solution for Spectre and Meltdown

A Statistical Approach to Stochastic Computing Design and Analysis

Overcoming the Performance and Security Challenges of Building Highly-Distributed Fault-Tolerant Embedded Systems

Accelerated Systems for Portable DNA Sequencing

Characterizing Laser Signal Injection and its Impact on the Security of Cyber-Physical Systems

Enabling Practical Deployments of Privacy-Preserving Technologies

Efficient and Dependable Deep Learning Systems

Democratizing Computer Hardware Design

Acceleration Techniques of Sparse Linear Algebra on Emerging Architectures

Building User-Driven Edge Devices

Optimizing Emerging Graph Applications Using Hardware-Software Co-Design

Efficient, Reconfigurable, and QoS-Aware Systems for Deep Neural Networks

Compiler Support for Robust and High Performance Autonomous Driving Environments

Securing Connected and Automated Vehicle through Proactive Vulnerability Analysis and Security Enhancement

In-SRAM Computing for Neural Network Acceleration

Efficient utilization of heterogeneous compute and memory systems

Towards Free, Open, and Ubiquitous Hardware Design

In-Memory Acceleration for General Data Parallel Applications

18th Annual CSE Graduate Honors Competition

Compiler Auto-tuning For Code Optimization

Datacenter Architectures for the Microservices Era

Streaming Architectures for Medical Image Reconstruction