Contributor
Rohan Yadav
Biography
Rohan Yadav is a fourth-year computer science Ph.D. student at Stanford University, advised by Alex Aiken and Fredrik Kjolstad. He is interested in programming languages and computer systems, with a focus in systems for parallel and distributed computing.
Presentations
Workshop
Accelerators
Artificial Intelligence/Machine Learning
Algorithms
Applications
Architecture and Networks
Distributed Computing
Compilers
Data Analysis, Visualization, and Storage
Exascale
Heterogeneous Computing
Linear Algebra
Message Passing
Performance Optimization
Programming Frameworks and System Software
Quantum Computing
Runtime Systems
Software Engineering
Sustainability
Task Parallelism
Tensors
W
Workshop
Accelerators
Artificial Intelligence/Machine Learning
Algorithms
Applications
Architecture and Networks
Distributed Computing
Compilers
Data Analysis, Visualization, and Storage
Exascale
Heterogeneous Computing
Linear Algebra
Message Passing
Performance Optimization
Programming Frameworks and System Software
Quantum Computing
Runtime Systems
Software Engineering
Sustainability
Task Parallelism
Tensors
W
Paper
Heterogeneous Computing
Programming Frameworks and System Software
Task Parallelism
TP
Paper
Heterogeneous Computing
Programming Frameworks and System Software
Task Parallelism
TP