Description: Compiler Engineer

at Wild Systems Inc., full owned HPC Project subsidiary – Santa Clara, California

Responsibilities:

Key member of the compiler team for Wild Systems, the Compiler Engineer will develop the Par4All compiler infrastructure targeting various parallel targets with heterogeneous accelerators such as GPU or hardware accelerators in MP-SoC.

The Compiler Engineer will have the following task and responsabilities:

  • to design new compilation algorithms for future Par4All versions,
  • to participate in the new infrastructure definition for increased flexiblility and retargetability,
  • to work on optimizing customer codes to devise new optimization,
  • to benchmark the compilation techniques to get better efficiency and programmer experience,
  • to collaborate with the QA team to improve the test infrastructure.

Experience & Qualifications:

MS or PhD student in Computer Science, Electrical Engineering or equivalent in related fields.

Experience with wide variety of aspects of compilers including:

  • program analysis,
  • code optimization and transformations,
  • code generation,
  • compiler framework and infrastructure.

Good hardware and operating system internals knowledge, especially in a parallel context.

Good understanding of programming languages is needed.

Strong C/C++ programming skills with agile methods.

Experience at least in some of the following languages or libraries: Python, CUDA, OpenCL, OpenMP, MPI and other parallel libraries, Java, Scilab, Matlab.

Experience with Linux-based development with some knowledge on other platforms (MacOS, Windows).

Excellent communication and collaboration skills and a willingness to learn.

Must be U.S. citizen or U.S. permanent resident.

Type: Full-time

To apply: please send cover e-mail with resume and with “JobID #9362″ as subject to job-9362 at hpc-project dot com

 

 

 

Following our partnership with Equalis it is now possible to download a trial version of Soft Cruncher, the performance accelerator, allowing calculations to be performed over 1,000 times faster.

  • Increase Speed: Users can expect computation performance gains over 1,000 times faster than their original Scilab script
  • Reduce Errors: Because SoftCruncher is completely automatic users don’t have to worry about timely and error-prone manual optimization of scripts
  • Hardware
    • CPU: AMD PhenomTM II X4 925 processor 2.8 GHz
    • RAM: 8 GB
    • OS: Windows 7 64-bit
For more information please check the Equalis Soft Cruncher page
 

 Tuesday February 14th, 2012  Mardi 14 Février 2012
At breakfast time, you will discover the benefits of the Wild Cruncher product range.

  • No programming necessary: from Scilab to C in one click
  • Automatic parallelization: take full advantage of multi-core and GPUs
  • Automatic transition from prototype to production
Le temps d’un petit-déjeuner vous pourrez découvrir les bénéfices de Wild Cruncher UV.

  • Pas de programmation : passez de Scilab au C en un seul clic.
  • Parallélisation transparente : tirez partie des multi-cœurs et des GPU.
  • Passez du prototypage à la production de façon automatique.
 9:00 to 10:30 am  9h00 – 10h30

 

Novell France – Tour Franklin – La Défense (Paris)

Agenda

 8:30  Coffee  Accueil café
 9:00 Pierre Fiorini – PDG HPC Project Solving the dilemma of application software optimization and evolving hardware architectures Concilier optimisation applicative et évolution des architectures matérielles.
 9:20 Vincent Laporte Product Manager HPC Project
Claude Gomez CEO Scilab Enterprises
Wild Cruncher: performance at engineers’ fingertips Wild Cruncher : la performance au service de l’ingénieur
 9:50 Jean Christophe Baratault Country Manager NVidia New GPU technologies trends Les nouvelles évolutions des technologies GPU
 10:15 Marc Simon SE Manager SGI Benefits of shared memory clusters. The SGI® UV in 15 minutes Intérêt des clusters à mémoire partagée. L’SGI® UV en 15 minutes.

 

 

A Wild Cruncher high range based on SGI Altix UV servers
Meudon la Forêt, November 22nd, 2011 – HPC Project specialized in high performance simulation and SGI announce that they have signed a reselleragreement. This agreement covers the integration and distribution of some of the two companies’ products. In particular, the first integration concerns Wild Cruncher from HPC Project and Altix UV servers from SGI.

Fore more information please consult our press release in English or in French

© 2011 HPC Project Suffusion theme by Sayontan Sinha