Research
We do research on compilers, programming languages, and program analysis to make programming modern heterogeneous systems more efficient and effective. Our recent focus is on:
- Implementing Domain-specific Languages using Partial Evaluation
- Vectorization of Irregular Low-Level Code
- Deriving Performance Models of Modern Hardware
Our current projects and tools include:
Teaching
Summer 2021
- Basic Course
- Seminar
BSc/MSc Theses and Hiwi Jobs
We have a variety of BSc/MSC topics and Hiw jobs available. Please contact Sebastian Hack.
News
- Oct 2020
- Our work on an abstract interpretation for SPMD thread divergence was accepted for POPL 2021 and was selected as distiguished paper. The analysis is accompanied by a Coq development to prove its soundness and a C++ implementation of the analysis has been upstreamed to LLVM. The version available here also features a more detailed presentation of the experimental results and an implementation guide.
- Apr 2020
- PMEvo, our work on inferring port mappings of out-of-order processors by time measurements was accepted at PLDI 2020.
- Jan 2020
- We have a paper at IPDPS 2020 together with Bertil Schmidt's group on AnySeq, a high-performance sequence alignment library written in AnyDSL that compiles to CPUs, GPUs, and FPGAs from the same code base and is competitive with codes that have been developed for a specific hardware architecture.
- Jul 2019
- Sebastian has taught a one-week course on compilers at the ACACES 2019 summer school.
- Jul 2019
- Our joint paper Rodent: Generating Renderers without Writing a Generator with the graphics group at Saarland University was accepted at SIGGRAPH 2019.
- Jun 2018
- Our paper on AnyDSL was accepted at OOPSLA 2018. AnyDSL is a clean-slate programming system with a simple, annotation-based, online partial evaluator that operates on our CPS-based IR Thorin and has code generators for various accelerators.
- Feb 2018
- Our paper on partially linearizing control flow was accepted at PLDI 2018. Partial control flow linearization generalizes if conversion to incorporate the results of a divergence analysis without imposing restrictions on the control flow graph.