Welcome to Murali Annavaram's WebpageAnnavaram's research interests are in computer and murali annavaram usc overtraining on steroids architecture, wireless systems and networks and VLSI design. He is addressing the challenges of processor reliability in current and future silicon integrated circuit technology. Although computer system performance continues annavaram increase while costs decrease, shrinking device sizes have recently led to new challenges in system reliability. Rather than addressing a single reliability concern, such myrali soft errors or process variations, Annavaram takes a multi-dimensional approach to improve Mean-Time-To-Failure. He focuses on error monitoring, detection and correction in a hierarchical framework based on reliability needs, and describes several design and software solutions to address these problems. The results are broadly applicable to enhanced computing, ranging from high performance industrial systems to personal consumer products.
Murali Annavaram - Google Scholar Citations
Return to Faculty Directory. He currently holds the Robert G. Lane Early Career Chair. His research focuses on energy efficiency and reliability of computing platforms. On the mobile platform end, his research focuses on energy efficient sensor management for body area sensor networks for continuous and real-time health monitoring.
He also has an active research group focused on computer systems architecture exploring reliability challenges in the future CMOS technologies. He is also passionate about his teaching. He received the Stevens Institute's Innovation Inside curriculum award for jointly developing a mobile systems design course.
Prior to his appointment at USC, he was a senior research scientist at the Intel Microprocessor Research Labs from to working on energy efficient server design and 3D stacking architectures.
In he was a visiting researcher at the Nokia Research Center, Palo Alto working on virtual trip line based traffic sensing. His work on Energy Per Instruction Throttling at Intel is implemented in Intel Core i7 processor to turbo boost performance at a fixed power budget.
His work on Virtual-Trip-Lines at Nokia formed the foundation for Nokia Traffic Works product that provides real time traffic sensing using mobile phones. He received the Ph. Research Summary The compute capability of today's high end mobile devices rivals the desktop performance of the early 90s. With increasing system integration these devices now offer rich set of features that are uniquely well suited for mobile environments, such as built in GPS receivers, multi mega pixel cameras with video recording capability.
The next step in progression is the development of software that takes advantage of these features to provide services to mobile users on the go. One prominent application is location based services that use the GPS capability to provide information that is relevant to a user's location. As the popularity of these applications grows information privacy is a cause for serious concern.
For instance, mobile devices can potentially become tracking devices since the location information is revealed to the application service providers. One aspect of my research focuses on preserving privacy in mobile environments. Some interesting questions that my research will answer are, how to tradeoff information relevance with location accuracy? How to tradeoff power consumption with information relevance? As mobile devices with significant compute power become ubiquitous the logical next step is to harness the collective compute and communication power of billions of mobile devices to create new usage models in future, such as real time traffic monitoring and social networking.
I will research how to allow mobile devices to proactively interact and share the knowledge of their surroundings without compromising privacy and security. For instance, a mobile device user can request for a recommendation of a restaurant with the least waiting times within the vicinity. Users in nearby restaurants can provide this information, in real time, provided the information does not compromise the privacy and the provider has an incentive for providing the information.
There are challenges both at the hardware and software level for these new usage models to work, which will be the focus of my mobile platform research.