Overview Notes: We present a straightforward approach for distributed parallelization of stencil-based Julia applications on a regular staggered ... Julia's multiple dispatch and generic functions lets you reuse code, not just for computing results, but also to visualize how the ...

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Transducers are composable algorithms that operate on collections of inputs. Julia's multiple dispatch and generic functions lets you reuse code, not just for computing results, but also to visualize how the ... The remote memory access routines from MPI-3 are a natural fit for the Julia programming model.

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The remote memory access routines from MPI-3 are a natural fit for the Julia programming model. Cassette is a tool for injecting user-defined code transformation passes into Julia's JIT compilation cycle, enabling normal Julia ...

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We present a straightforward approach for distributed parallelization of stencil-based Julia applications on a regular staggered ...

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  • Julia's multiple dispatch and generic functions lets you reuse code, not just for computing results, but also to visualize how the ...
  • Cassette is a tool for injecting user-defined code transformation passes into Julia's JIT compilation cycle, enabling normal Julia ...
  • We present a straightforward approach for distributed parallelization of stencil-based Julia applications on a regular staggered ...
  • The remote memory access routines from MPI-3 are a natural fit for the Julia programming model.
  • Transducers are composable algorithms that operate on collections of inputs.

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Visual Context

Parallel Prefix Polymorphism | Jiahao Chen | JuliaCon 2018
Taking Vector Transposes Seriously | Jiahao Chen | JuliaCon 2017
Parallel Computing With MPI-3 RMA and Julia | Bart Janssens | JuliaCon 2018
Final words at JuliaCon 2015 | Jiahao Chen | JuliaCon 2015
Distributed Parallelization of xPU Stencil Computations in Julia | S. Omlin, L. Räss | JuliaCon 2022
Engineering Julia for Speed | Lionel Zoubritzky | JuliaCon 2018
Jiahao Chen: Why language matters: Julia and multiple dispatch
Transducers: Data-oriented Abstraction for Sequential and Parallel Algorithms | JuliaCon 2019
Cassette: Dynamic, Context-Specific Compiler Pass Injection for Julia | J Revels | JuliaCon 2018
Subtyping Made Friendly | Francesco Zappa Nardelli | JuliaCon 2018
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Parallel Prefix Polymorphism | Jiahao Chen | JuliaCon 2018

Parallel Prefix Polymorphism | Jiahao Chen | JuliaCon 2018

Julia's multiple dispatch and generic functions lets you reuse code, not just for computing results, but also to visualize how the ...

Taking Vector Transposes Seriously | Jiahao Chen | JuliaCon 2017

Taking Vector Transposes Seriously | Jiahao Chen | JuliaCon 2017

Visit to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video!

Parallel Computing With MPI-3 RMA and Julia | Bart Janssens | JuliaCon 2018

Parallel Computing With MPI-3 RMA and Julia | Bart Janssens | JuliaCon 2018

The remote memory access routines from MPI-3 are a natural fit for the Julia programming model. We show how to build a custom ...

Final words at JuliaCon 2015 | Jiahao Chen | JuliaCon 2015

Final words at JuliaCon 2015 | Jiahao Chen | JuliaCon 2015

Visit to download Julia. Time Stamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video!

Distributed Parallelization of xPU Stencil Computations in Julia | S. Omlin, L. Räss | JuliaCon 2022

Distributed Parallelization of xPU Stencil Computations in Julia | S. Omlin, L. Räss | JuliaCon 2022

We present a straightforward approach for distributed parallelization of stencil-based Julia applications on a regular staggered ...

Engineering Julia for Speed | Lionel Zoubritzky | JuliaCon 2018

Engineering Julia for Speed | Lionel Zoubritzky | JuliaCon 2018

Julia's design enables efficient idiomatic code optimizations. I will detail Julia's main optimizations and explain under which ...

Jiahao Chen: Why language matters: Julia and multiple dispatch

Jiahao Chen: Why language matters: Julia and multiple dispatch

Read more details and related context about Jiahao Chen: Why language matters: Julia and multiple dispatch.

Transducers: Data-oriented Abstraction for Sequential and Parallel Algorithms | JuliaCon 2019

Transducers: Data-oriented Abstraction for Sequential and Parallel Algorithms | JuliaCon 2019

Transducers are composable algorithms that operate on collections of inputs. This concept is first introduced in Clojure language ...

Cassette: Dynamic, Context-Specific Compiler Pass Injection for Julia | J Revels | JuliaCon 2018

Cassette: Dynamic, Context-Specific Compiler Pass Injection for Julia | J Revels | JuliaCon 2018

Cassette is a tool for injecting user-defined code transformation passes into Julia's JIT compilation cycle, enabling normal Julia ...

Subtyping Made Friendly | Francesco Zappa Nardelli | JuliaCon 2018

Subtyping Made Friendly | Francesco Zappa Nardelli | JuliaCon 2018

Tweet Share Have you ever wondered how Julia dispatches method calls? As an answer, have you been pointed to a mysterious ...