Ph.D. Dissertations - Krste Asanović
Enabling Full-Stack DNN Accelerator Design and Evaluation on Synthesizable Hardware
Hasan Genc [2024]
Building Trusted Execution Environments
Dayeol Lee [2022]
Automated, FPGA-Based Hardware Emulation of Dynamic Frequency Scaling
David Biancolin [2021]
Extending Temporal-Vector Microarchitectures for Two-Dimensional Computations
Colin Schmidt [2021]
Generator-Based Design of Custom Systems-on-Chip for Numerical Data Analysis
Alon Amid [2021]
Improving FPGA Simulation Capacity with Automatic Resource Multi-Threading
Albert Magyar [2021]
Practical Solutions to Accelerating ASIC Design Development Using Machine Learning
Keertana Settaluri [2021]
Machine Learning in Compiler Optimization
Ameer Haj Ali [2020]
Compiling Communication-Minimizing Query Plans
Eric Love [2019]
FPGA-Accelerated Evaluation and Verification of RTL Designs
Donggyu Kim [2019]
Unlocking Design Reuse with Hardware Compiler Frameworks
Adam Izraelevitz [2019]
Energy-Efficient System Design Through Adaptive Voltage Scaling
Ben Keller [2017]
Hardware and Software Support for Managed-Language Workloads in Data Centers
Martin Maas [2017]
Decoupled Vector-Fetch Architecture with a Scalarizing Compiler
Yunsup Lee [2016]
Design of the RISC-V Instruction Set Architecture
Andrew Waterman [2016]
Productive Design of Extensible On-Chip Memory Hierarchies
Henry Cook [2016]
Understanding and Improving Graph Algorithm Performance
Scott Beamer [2016]
Resilient Design Techniques for Improving Cache Energy Efficiency
Brian Zimmer [2015]
Optimizing Resource Allocations for Dynamic Interactive Applications
Sarah Bird [2014]
Using FPGAs to Simulate Novel Datacenter Network Architectures At Scale
Zhangxi Tan [2013]