1. Processing In-Memory Architecture Incorporating Systolic Dataflow for Deep Neural Networks Open Access Author: Chandran, Makesh Tarun Title: Processing In-Memory Architecture Incorporating Systolic Dataflow for Deep Neural Networks Graduate Program: Computer Science and Engineering Keywords: Neural NetworksReRAMProcessing-in-memoryTransformerBERTLSTMCNNSystolic File: Download Makesh_Thesis.pdf Committee Members: Vijaykrishnan Narayanan, Thesis Advisor/Co-AdvisorJohn Morgan Sampson, Committee MemberChitaranjan Das, Program Head/Chair
2. Stacked-3D and Processing-in-memory Solutions for Data-intensive and Persistent Applications Restricted (Penn State Only) Author: Ramanathan, Akshay Krishna Title: Stacked-3D and Processing-in-memory Solutions for Data-intensive and Persistent Applications Graduate Program: Electrical Engineering Keywords: Processing-in-memoryComputer ArchitecturePersistent ApplicationsSRAMNeural Network AccelerationNon-volatile memoryVLSI File: Login to Download Committee Members: Vijaykrishnan Narayanan, Chair & Dissertation AdvisorSwaroop Ghosh, Major Field MemberAbhronil Sengupta, Major Field MemberMehdi Kiani, Major Field MemberYing Liu, Outside Unit & Field MemberKultegin Aydin, Program Head/Chair