Seminars

Innovating at the Intersection of Architecture and Emerging Workload Paradigms

Combating Randomness: Towards Efficient Data-Intensive Applications Using Software-Hardware Co-Design

Optimizing Graph Applications Through Graph Sparsification and Accelerator Design

Let’s Go Sparse: Towards Sparse-Aware Computing System Design

Improving Select Applications of Long-Read DNA Sequencing

Modern Clouds: Side-Channel Attacks and Defenses

Catch M(oor)e If You Can: Agile Hardware/Software Co-Design for Hyperscale Cloud Systems

Sub-cent Processors, Earable Computers, and Space Microdatacenters: Novel Computer Systems for Truly Ubiquitous Computing

20th Annual CSE Graduate Honors Competition

On Improving Robustness of Deep Neural Networks for Computer Vision

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

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