9 citations · 17 across the 6 of their papers we have counts for
7 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…
The Configuration Wall: Characterization and Elimination of Accelerator Configuration Overhead
Josse Van Delm, Anton Lydike, Joren Dumoulin +6
Contemporary compute platforms increasingly offload compute kernels from CPU to integrated hardware accelerators to reach maximum performance per Watt. Unfortunately, the time the…
A Multi-level Compiler Backend for Accelerated Micro-kernels Targeting RISC-V ISA Extensions
Alexandre Lopoukhine, Federico Ficarelli, Christos Vasiladiotis +6
High-performance micro-kernels must fully exploit today's diverse and specialized hardware to deliver peak performance to DNNs. While higher-level optimizations for DNNs are offere…
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…
mlirSynth: Automatic, Retargetable Program Raising in Multi-Level IR using Program Synthesis
Alexander Brauckmann, Elizabeth Polgreen, Tobias Grosser +1
MLIR is an emerging compiler infrastructure for modern hardware, but existing programs cannot take advantage of MLIR's high-performance compilation if they are described in lower-l…
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…