10 citations · 18 across the 3 of their papers we have counts for
4 papers
Compressing Structured Tensor Algebra
Mahdi Ghorbani, Emilien Bauer, Tobias Grosser +1
Tensor algebra is a crucial component for data-intensive workloads such as machine learning and scientific computing. As the complexity of data grows, scientists often encounter a…
A shared compilation stack for distributed-memory parallelism in stencil DSLs
George Bisbas, Anton Lydike, Emilien Bauer +8
Domain Specific Languages (DSLs) increase programmer productivity and provide high performance. Their targeted abstractions allow scientists to express problems at a high level, pr…
Stencil-HMLS: A multi-layered approach to the automatic optimisation of stencil codes on FPGA
Gabriel Rodriguez-Canal, Nick Brown, Maurice Jamieson +3
The challenges associated with effectively programming FPGAs have been a major blocker in popularising reconfigurable architectures for HPC workloads. However new compiler technolo…
Fortran performance optimisation and auto-parallelisation by leveraging MLIR-based domain specific abstractions in Flang
Nick Brown, Maurice Jamieson, Anton Lydike +2
MLIR has become popular since it was open sourced in 2019. A sub-project of LLVM, the flexibility provided by MLIR to represent Intermediate Representations (IR) as dialects at dif…