Remove 2005 Remove Analytics Remove Cache
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No Server Required - Jekyll & Amazon S3 - All Things Distributed

All Things Distributed

I have regenerated all pages since 2005, the pages before that can be found in the "/historical" section. My templates and blog posts are now located in DropBox and thus locally cached at each machine I use. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

Servers 112
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

From Distributed Caches to Real-Time Digital Twins. Emerging in the early 2000s, the first such platforms provided distributed caching on clustered servers with straightforward APIs for storing and retrieving in-memory objects.

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Service Workers can save the environment!

Dean Hume

Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Show me the money!

Energy 40
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Service Workers can save the environment!

Dean Hume

Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Show me the money!

Energy 40
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Service Workers can save the environment!

Dean Hume

Electricity used by servers doubled between 2000 and 2005 (and has continued growing ever since) from 12 billion to 23 billion kilowatt hours. Without effective caching on the client, the server will see an increase in workload, more CPU usage and ultimately increased latency for the end user. Show me the money!

Energy 40
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The Surprising Effectiveness of Non-Overlapping, Sensitivity-Based Performance Models

John McCalpin

The presentation discusses a family of simple performance models that I developed over the last 20 years — originally in support of processor and system design at SGI (1996-1999), IBM (1999-2005), and AMD (2006-2008), but more recently in support of system procurements at The Texas Advanced Computing Center (TACC) (2009-present).