jcbeard

7 ms·

31.
Entropy drives the pace of molecular evolution(natureecoevocommunity.nature.com)
1 points by jcbeard 9y ago|0 comments
32.
by jcbeard 9y ago
It'll be called SPiDRE (pronounced spider) at MEMSYS. Name coined by a colleague, I can't take credit. Thanks for reading! You'll have to wait for the presentation and follow-on papers for some of those answers :). If you rea
33.
TSMC Teams Up with Xilinx, Cadence, and ARM on CCIX Chip(top500.org)
1 points by jcbeard 9y ago|0 comments
34.
by jcbeard 9y ago
This might be interesting for you then: http://www.jonathanbeard.io/pdf/b17a.pdf
35.
FCC “apology” shows anything can be posted to agency site using insecure API(arstechnica.com)
4 points by jcbeard 9y ago|0 comments
36.
Kafka Wakes Up and Is Metamorphosed into a Database(nextplatform.com)
5 points by jcbeard 9y ago|0 comments
37.
Intel Quietly Drops Xeon Phi 7200 Coprocessors(phoronix.com)
5 points by jcbeard 9y ago|0 comments
38.
Neural Network at Warp Speed (1988)(repository.cmu.edu)
62 points by jcbeard 9y ago|8 comments
39.
Chiplets seen as the future of IP blocks(eetimes.com)
1 points by jcbeard 9y ago|0 comments
40.
by jcbeard 9y ago
Seems very much "back to the future." Systolic array processors were used to accelerate neural networks in the 1980's. Great for matrix math too. (ref: http://repository.cmu.edu/cgi/viewcontent.cgi?articl
41.
The New Server Economies of Scale for AMD(nextplatform.com)
4 points by jcbeard 9y ago|0 comments
42.
Oak Ridge National Lab Takes on Massive US Veterans Medical Research Project(nashvillepublicradio.org)
1 points by jcbeard 9y ago|0 comments
43.
Fujitsu Will Pursue AI with Custom-Built Processor(top500.org)
2 points by jcbeard 9y ago|0 comments
44.
From Heaven to Hell: Exploring the Odd Vertical Limits of Land Ownership(99percentinvisible.org)
1 points by jcbeard 9y ago|0 comments
45.
Trump begins to dismantle Obama’s “startup visa” program(arstechnica.com)
2 points by jcbeard 9y ago|0 comments
46.
Ethernet Getting Back on the Moore’s Law Track(nextplatform.com)
6 points by jcbeard 9y ago|0 comments
47.
by jcbeard 9y ago
At ISC17 they had these at the Gigabyte booth....with multi-GPU configs (see GPGPU on top). https://drive.google.com/file/d/0B4tfh1u3NMxnTThSdEswR2o1SXc...
48.
by jcbeard 9y ago
I can confirm...I didn't make a dime :( just reporting on on the goingarm.com workshop.
49.
by jcbeard 9y ago
If you're interested in seeing more about what people are currently doing with ARM, check out the slides at http://www.goingarm.com/#2017schedule For buying a machine, it depends on what you want. Desktops are coming o
50.
by jcbeard 9y ago
Officially I think the only thing that can be said, has been said by Paul Messina: "I believe that the Aurora system contract is being reviewed for potential changes that would result in a subsequent system in a different time frame fr
51.
DoE Awards 6 Research Contracts Totaling $258M to U.S. HPC Tech(exascaleproject.org)
1 points by jcbeard 9y ago|0 comments
52.
by jcbeard 9y ago
C++Now is branching out. I gave a talk this year on FIFO communications and a tutorial on RaftLib. One not so C++ focused and the other definitely C++ focused (C++ library). I enjoyed the wide variety of people and topics. Will try to go ag
53.
Cray Supercomputing as a Service Becomes a Reality(nextplatform.com)
8 points by jcbeard 9y ago|0 comments
54.
HPE Debuts Its Next-Gen Computer--Sans Much-Anticipated Memristors(scientificamerican.com)
1 points by jcbeard 9y ago|0 comments
55.
GoingARM Workshop at ISC-HPC 2017(community.arm.com)
1 points by jcbeard 9y ago|0 comments
56.
US Congress includes funds for faster computers(computerworld.com)
2 points by jcbeard 9y ago|0 comments
57.
Facebook Launches “Moon Shot” Effort to Decode Speech Direct from the Brain(scientificamerican.com)
3 points by jcbeard 9y ago|1 comments
58.
Overview of the Exascale Additive Manufacturing Project(insidehpc.com)
2 points by jcbeard 9y ago|0 comments
59.
Performance Modeling: Experimental Computer Science at Its Best (1981) [pdf](denninginstitute.com)
15 points by jcbeard 9y ago|0 comments
60.
by jcbeard 9y ago
In general, with current systems, it's all a partitioning problem. Speed-up is a trade-off between granularity of the compute kernel placed on a resource, the communication between said resources, latency at each level of the memory hi

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