10 citations · 14 across the 5 of their papers we have counts for
5 papers
An MLIR Lowering Pipeline for Stencils at Wafer-Scale
Nicolai Stawinoga, David Katz, Anton Lydike +4
The Cerebras Wafer-Scale Engine (WSE) delivers performance at an unprecedented scale of over 900,000 compute units, all connected via a single-wafer on-chip interconnect. Initially…
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…
Automated MPI-X code generation for scalable finite-difference solvers
George Bisbas, Rhodri Nelson, Mathias Louboutin +3
Partial differential equations (PDEs) are crucial in modeling diverse phenomena across scientific disciplines, including seismic and medical imaging, computational fluid dynamics,…
Temporal blocking of finite-difference stencil operators with sparse "off-the-grid" sources
George Bisbas, Fabio Luporini, Mathias Louboutin +3
Stencil kernels dominate a range of scientific applications, including seismic and medical imaging, image processing, and neural networks. Temporal blocking is a performance optimi…
Scaling through abstractions -- high-performance vectorial wave simulations for seismic inversion with Devito
Mathias Louboutin, Fabio Luporini, Philipp Witte +5
[Devito] is an open-source Python project based on domain-specific language and compiler technology. Driven by the requirements of rapid HPC applications development in exploration…