AI
AI
AI
Broader Paths Etched into FPGA Datacenter Roadmap
Well before the Intel acquisition of Altera and the news about Microsoft’s use of the Catapult servers, which feature FPGAs to power their Bing search engine and other key applications, it has been clear that the FPGA future is just starting to unfold. …
AI
Innovative Memory Server Knocks Analytics Systems into Balance
As the shift in high performance computing has taken an efficient data-intensive supercomputing turn in recent years, fundamental rethinks in architecture are coming to the fore. …
AI
Hadoop, Spark, Deep Learning Mesh on Single GPU Cluster
When it comes to leveraging existing Hadoop infrastructure to extend what is possible with large volumes of data and various applications, Yahoo is in a unique position–it has the data and just as important, it has the long history with Hadoop, MapReduce and other key tools in the open source big data stack close at hand and manned with seasoned experts. …
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Apache Arrow Targets High Performance for Big Data Systems
The ever-growing open source data stack ushered in yet another piece this morning with Apache Arrow, a new top-level project providing a columnar in-memory layer that focuses on higher performance data processing. …
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Layering on Machine Learning to Speed Data Transformation
There are few more widely recognized names in modern database research than Dr. …
AI
Pushing Hadoop and HPC into the Same Box
Consider the metaphor of pushing an elephant into a small box. …
AI
IARPA Project Targets Hidden Algorithms of the Brain
Whether in the brain or in code, neural networks are shaping up to be one of the most critical areas of research in both neuroscience and computer science. …
AI
IBM Traverses Deeper into Graph Territory
Keeping track of the many graph analytics platforms and databases that exist and weighing their relative advantages could be a full time job. …
AI
Technical Debt Could Leave Machine Learning Bankrupt
There has been a resounding uptick in attention around machine learning, but with relatively few large-scale systems in production (and even fewer public stories about progress and roadblocks), the wider story is all about the potential and dramatically less about the possibilities for problems. …