Driven by the wide adoption of deep neural networks (DNNs) across differ...
We formally verify an open-source hardware implementation of physical me...
Hardware enclaves rely on a disjoint memory model, which maps each physi...
We explore applying the Monte Carlo Tree Search (MCTS) algorithm in a
no...
The performance of the code a compiler generates depends on the order in...
Advances in deep learning and neural networks have resulted in the rapid...
One of the key challenges arising when compilers vectorize loops for tod...
The recent advancements in deep reinforcement learning have opened new
h...
Trusted execution environments (TEEs) are being used in all the devices ...
Trusted execution environments (TEEs) are becoming a requirement across ...
The performance of the code generated by a compiler depends on the order...
Enclaves have emerged as a particularly compelling primitive to implemen...
Deep Learning is arguably the most rapidly evolving research area in rec...
This report makes the case that a well-designed Reduced Instruction Set
...