Sending Beams into the Parallel Cube

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A Racket-Based Robot to Teach First-Year Computer Science - Franco Raimondi, Giuseppe Primiero

6 mai 2014 29 min

Lightning Talks - Dimitri Fontaine, Martin Simmons, Nick Levine, Michael Baskin, Janis Džerinš, Dave Murray, Alessio Stalla, Masatoshi Sano, Jacques Siboni

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A functional approach for disruptive event discovery and policy monitoring in mobility scenarios - Sergi Alvarez-Napagao

6 mai 2014 31 min

High performance concurrency in Common Lisp - hybrid transactional memory with STMX - Massimiliano Ghilardi

6 mai 2014 30 min

An Implementation of Python for Racket - Pedro Ramos

6 mai 2014 25 min

A Need for Multilingual Names - Jean-Paul Barthès

6 mai 2014 33 min

Defmacro for C: Lightweight, Ad Hoc Code Generation - Kai Selgrad

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Workshop: Lisp for music technology - Dimitri Bouche, Jean Bresson, Christophe Rhodes, Max Rottenkolber, Jérôme Nika, Robert Piéchaud

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We send probes into the topic hypercube bounded by machine learning, parallelism, software and contests, demonstrate existing and sketch future Lisp infrastructure, pin the future and foreign arrays down.

We take a seemingly random walk along the different paths, watch the scenery of pairwise interactions unfold and piece a puzzle together. In the purely speculative thread, we compare models of parallel computation, keeping an eye on their applicability and lisp support. In the the Python and R envy thread, we detail why lisp could be a better vehicle for scientific programming and how high performance computing is eroding lisp's largely unrealized competitive advantages. Switching to constructive mode, a basic data structure is proposed as a first step.

In the machine learning thread, lisp's unparalleled interactive capabilities meet contests, neural networks cross threads and all get in the way of the presentation.

intervenants

informations

Lieu de représentation
Ircam, Salle Igor-Stravinsky (Paris)
durée
56 min
date
6 mai 2014

IRCAM

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