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Bend download for Linux

Free download Bend Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Bend whose latest release can be downloaded as Bend0.2.38sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Bend with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

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Bend


DESCRIPTION

Bend is a programming language and runtime from Higher Order Company (HoC) that enables writing parallel/concurrent programs to leverage multi‐core CPUs and GPUs more easily. It is designed to abstract away much of the complexity of parallel programming (locks, mutexes, atomics), allowing developers to write code in a more high-level style (similar syntax to Python). It includes a parallel runtime (HVM) to schedule and execute tasks efficiently across available cores / hardware.



Features

  • A high-level language that feels like Python to write parallel computation for CPU/GPU without deep expertise in concurrency or CUDA etc
  • Automatically parallel execution of work that can be parallelized, with runtime handling threading, task scheduling etc
  • HVM runtime: capable of scaling to many threads (hundreds / thousands depending on cores) to achieve near-ideal speedups on multi-core hardware
  • Support for both CPU and GPU execution to leverage both types of hardware as available
  • Simplified concurrency model: developer doesn’t need to manage low level concurrency primitives (locks etc) manually
  • Designed for performance: speedup nearly proportional to available cores / hardware, focusing on efficiency of parallel computations


Programming Language

Rust


Categories

Runtimes

This is an application that can also be fetched from https://sourceforge.net/projects/bend.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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