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Cloud Computing Design Challenges: An Engineering Journey

Comments(0)Filed under: Cadence, Brian Fuller, Altera, EDA vendors, computer architecture, microprocessor design, cloud computing, computer design, system design, FPGA, Ron Wilson

Earlier this year, we explored cloud computing and application-specific systems design, as Cadence Fellow Chris Rowen urged us to "follow the data" to understand evolving electronics-design dynamics.

data center design

Now comes Ron Wilson, Altera's editor-in-chief, who writes about heterogenous computing design challenges in the cloud from the 2014 International Symposium on FPGAs. He dives deep into hardware acceleration strategies, system partitioning, and how programming in this domain will evolve in the coming years.

Arguably one of Wilson's most illuminating threads focuses on design for reliability in the cloud. It's vital because cloud companies won't repair failed servers in the racks. They do this because the systems are fault-tolerant (other servers pick up the failed server's duties) and because the lifetime of the data is just three years.

As we move deeper into the era of application-specific system design, enabling these systems becomes so much more complex. It's about power, performance, area, of course, but it's also about security and reliability. They're all must-haves; they're not optional. And, therefore, the pressure on systems designers from implementation up through verification continues to mount.

Click here to read Wilson's complete dispatch.

Brian Fuller

Related stories:

--CDNLive 2014: Follow the Data to Optimize System Design--Chris Rowen

-- ISSCC: Perspectives on System-Design Evolution

-- We Need to Move "Past EDA": Tensilica Founder Rowen

-- CDNLive Silicon Valley Proceedings


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