26 citations · 26 across the 2 of their papers we have counts for
4 papers
Composable and Modular Code Generation in MLIR: A Structured and Retargetable Approach to Tensor Compiler Construction
Nicolas Vasilache, Oleksandr Zinenko, Aart J. C. Bik +9
Despite significant investment in software infrastructure, machine learning systems, runtimes and compilers do not compose properly. We propose a new design aiming at providing unp…
Domain-Specific Multi-Level IR Rewriting for GPU
Tobias Gysi, Christoph Müller, Oleksandr Zinenko +6
Traditional compilers operate on a single generic intermediate representation (IR). These IRs are usually low-level and close to machine instructions. As a result, optimizations re…
A Fast Analytical Model of Fully Associative Caches
Tobias Gysi, Tobias Grosser, Laurin Brandner +1
While the cost of computation is an easy to understand local property, the cost of data movement on cached architectures depends on global state, does not compose, and is hard to p…
A scalable weakly-synchronous algorithm for solving partial differential equations
Konduri Aditya, Tobias Gysi, Grzegorz Kwasniewski +3
Synchronization overheads pose a major challenge as applications advance towards extreme scales. In current large-scale algorithms, synchronization as well as data communication de…