[llvm-dev] This Thursday -> LLVM Compiler Social, Tech-Talk: Deep Learning is the Killer App for Polyhedral Compilation
Tobias Grosser via llvm-dev
llvm-dev at lists.llvm.org
Mon Aug 6 06:53:25 PDT 2018
On Mon, Aug 6, 2018, at 15:42, Tobias Grosser wrote:
> Dear LLVM and compiler interested people,
>
> this Thursday, 19:00, Dr. Oleksandre Zinenko will present Tensor-
> Comprehension, a Deep-Learning compiler jointly developed by Facebook,
> ENS Paris, and ETH Zurich at the LLVM compiler social.
>
> Tech-Talk: Deep Learning is the Killer App for Polyhedral Compilation
>
> Deep learning approaches are successfully applied to an increasingly
> large number of real-world problems, such as computer vision, speech or
> weather prediction. Their efficiency comes at a high computational and
> energy price. While the deep learning kernels are qualified as
> “embarrassingly parallel”, their implementations often fall
> short of exploiting the full power of modern parallel hardware. We
> propose Tensor Comprehensions, a new domain-specific language for deep
> learning workloads and a compilation flow combining more (LLVM) or less
> (polyhedral, in-process autotuning) conventional techniques. The
> language is restricted by design to the computations that can be
> effectively analyzed in the polyhedral model, yet it covers the vast
> majority of DL layers. Polyhedral transformation happens at a higher
> level than in existing tools, directly capturing the relevant
> information that otherwise would have to be extracted from a lower-level
> intermediate representation. Currently, Tensor Comprehensions targets
> NVidia GPUs through NVRTC or LLVM’s PTX backend, and modern CPUs
> with vectorization and optional parallelization through the Tapir
> extension of the LLVM IR. Initial evaluations show up to 4x speedups
> over vendor-provided libraries on computational kernels relevant to deep
> learning.
>
> Oleksandr Zinenko is a research engineer at Inria and École
> Normale Supérieure in Paris, France working on usability and
> scalability of polyhedral compilation. He obtained his PhD from
> University Paris-Saclay for the work on interactive program
> restructuring. Oleksandr’s research interests include polyhedral
> compilation, program optimization and programming languages, all from a
> developer-centric viewpoint. He is a co-author of an interactive toolset
> to promote and disseminate polyhedral compilation techniques.
>
> # Registration
>
> https://www.meetup.com/llvm-compiler-and-code-generation-socials-zurich/events/245320826/
https://www.meetup.com/llvm-compiler-and-code-generation-socials-zurich/events/cbffknyxlbmb/
> # What
>
> A social meetup to discuss compilation and code generation questions
> with a focus on LLVM, clang, Polly and related projects.
>
> Our primary focus is to provide a venue (and drinks & snacks) that
> enables free discussions between interested people without imposing an
> agenda/program. This is a great opportunity to informally discuss your
> own projects, get project ideas or just learn about what people at ETH
> and around Zurich are doing with LLVM.
>
> Related technical presentations held by participants are welcome (please
> contact us).
>
> # Who: - Anybody interested -
>
> - ETH students and staff
> - LLVM developers and enthusiasts external to ETH
>
> # When: 09.08.2018, 19:00
>
> # Where: CAB E 72
>
> # What is LLVM ?
>
> LLVM (http://www.llvm.org) is an open source project that provides a
> collection of modular compiler and toolchain technologies. It is
> centered around a modern SSA-based compiler around which an entire
> ecosystem of compiler technology was developed. Most well know is the
> clang C++ compiler, which is e.g. used to deploy iOS. Beyond this a
> diverse set of projects is developed under the umbrella of LLVM. These
> include code generators and assemblers for various interesting
> architectures, a jit compiler, a debugger, run-time libraries (C++
> Standard Library, OpenMP, Opencl library), program sanity checkers, and
> many more.
>
> LLVM has itself grown out of a research project more than 10 years ago
> and is the base of many exciting research projects today:
>
> https://scholar.google.ch/scholar?cites=7792455789532680075&as_sdt=2005&sciodt=0,5&hl=de
>
> Best,
> Tobias
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