SLX + cloud = SLX.cloud

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There are two major trends progressing currently in the tech world: the need for parallel programming to address multicore platforms and the move of enterprises into the cloud using SaaS offerings. Let me dive into both of them to give you some context:

 

Multicore Platforms

 

There are no limits to an ever-increasing demand for more processing capacity. Cars are becoming supercomputers on wheels. Future drones and robots will demand unprecedented visual intelligence and mobile networks will need to handle more data than ever before.

 

It is no secret that those requirements can only be achieved with multicore processors. But to fully exploit them requires a wholesale shift how software will be designed in the future, as the complexity of manual parallelization and manual software distribution is not feasible anymore. This is where SLX comes into play, providing programming solutions to help software professionals meet the most challenging system requirements with state-of-the-art compiler technology and full heterogeneity awareness.

 

Enterprises move to the Cloud

 

There’s been a fast shift in the past few years to the cloud with the adoption of tools like Slack, Salesforce, and Google’s G Suite. The latter alone has more than three million paying customers and Salesforce made more than $1.5 billion in subscription last year, a clear sign that the cloud is here to stay. Even though the cloud has become the default for practically every industry, there’s one fundamental space to be left out: software development is still primarily done offline. But there is a tremendous shift in this segment as well lately due to the clear benefits of a SaaS development offering: perfect fit into the agile manifesto and continuous integration, seamless team collaboration, enhanced security through dockerized provisioning, unlimited resources and zero-time onboarding of new developers.

 

SLX + cloud = SLX.cloud

 

Looking at the two trends described above, I’m thrilled to announce today a technology preview of the SLX.cloud. It packages our powerful SLX technology within a SaaS environment accessible from any web browser. Available online immediately at slx.cloud and free for non-commercial use, it helps you to analyze, optimize and implement your multicore software with timing and power constraints in a disruptive way.

 

The SLX.cloud is built upon Eclipse Che – the #1 open source cloud IDE also powering other online development environments such as OpenShift.io from Red Hat or the ARTIK platform by Samsung. I can guarantee you today you’ll be impressed about its powerful capabilities, usability and design.

 

“But we will never upload our source code”, you might think to yourself at this exact moment. And in fact, there’s a common misconception that cloud development means operating in the public sphere. But the SLX.cloud can also be installed on-premise behind a firewall within your local network, preserving enterprise level security and control  while enabling seamless team collaboration.

 

This makes the SLX technology available in the cloud, on-premise within your own network and both as a GUI desktop and command-line tool for Linux and Windows. What are you waiting for? Go to the Try Now page to check out the new SLX.cloud, download a free trial of our desktop version or schedule a demo with one of our business development representatives around the world.

Maximilian Odendahl, co-founder and CEO of Silexica
Maximilian Odendahl
Maximilian is on a mission to solve the productivity gap of multicore processors, one of the biggest challenges today in electronics. He is co-founder and CEO of Silexica, offering the SLX technology for automatic parallelization, mapping workloads to heterogeneous hardware and software-hardware co-design.
He has received a Computer Engineering diploma from RWTH Aachen University in 2010 and has joined the Institute for Communication Technologies and Embedded Systems (ICE) afterwards as a full-time research assistant and Ph.D. student. From May 2013 until December 2014, he was the Chief Engineer of the Chair for Software for Systems on Silicon leading around 10 research assistants.

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