Ramesh Illikkal

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments

Resource sharing between multiple workloads has become a prominent practice among cloud service providers, motivated by demand for improved resource utilization and reduced cost of ownership....

AI Tax: The Hidden Cost of AI Data Center Applications

Artificial intelligence and machine learning are experiencing widespread adoption in industry and academia. This has been driven by rapid advances in the applications and accuracy of AI through...

DeepSim: Cluster Level Behavioral Simulation Model for Deep Learning

Shared Resource Monitoring and Throughput Optimization in Cloud-Computing Datacenters

Big Data Acceleration on Tightly Coupled FPGA: An Alternating Least Squares inference Case Study

Leveraging Heterogeneity in DRAM Main Memories to Accelerate Critical Word Access

Hardware/Software Co-Simulation for Last Level Cache Exploration

TMT - A TLB Tag Management Framework for Virtualized Platforms

Machine Learning-Based Runtime Scheduler for Mobile Offloading Framework

I/O processing in a virtualized platform: a simulation-driven approach

NotNets: Accelerating Microservices by Bypassing the Network

CacheScouts: Fine-Grain Monitoring of Shared Caches in CMP Platforms

A systematic network-on-chip traffic modeling and generation methodology

QoS management on heterogeneous architecture for parallel applications

Exploring DRAM cache architectures for CMP server platforms

On the Performance of Tagged Translation Lookaside Buffers: A Simulation-Driven Analysis

ASPEN: Towards Effective Simulation of Threads and Engines in Evolving Platforms

A Simulation Framework for the Analysis of the TLB Behavior in Virtualized Environments