Solutions in Optics - Reduced to Your Needs
Automation and 100% Control for
ultra high precision of small parts
64 128 256 512 1k 2k 4k 8k 16k 32k 64k
ImageNet top- 1 validation error
With these techniques, noted the paper, a Caffe2-based system trained
ResNet-50 with a minibatch size of 8192 on 256 GPUs in one hour, while
matching small minibatch accuracy.
“Using commodity hardware, our implementation achieves 90%
scaling efficiency when moving from 8 to 256 GPUs,” notes the paper’s
abstract. “This system enables us to train visual recognition models on
internet-scale data with high efficiency.”
The team achieved these results with the aforementioned Caffe2,
along with the Gloo library for collective communication, and Big Basin,
which is Facebook’s next-generation GPU server.
In summary, according to Facebook’s Lauren Rugani, the paper
demonstrates how creative infrastructure design can contribute to
more efficient deep learning at scale.
“With these findings, machine learning researchers will be able to
experiment, test hypotheses, and drive the evolution of a range of dependent technologies — everything from fun face filters to 360 video
to augmented reality,” wrote Rugani.
Systems have collaborated to deliver innovative computer vision algorithms that run on the Intel Core
i-series processor family to detect whiteboards, rectify and enhance images to produce high-quality, orthogonal whiteboard
views,” said Praveen Vishakantaiah, VP and GM of Intel Client
Computing Group R&D division.
Altia Systems President and CEO Aurangzeb Khan also com-
mented: “The standard whiteboard is the simplest collaboration
tool available for meetings and classroom settings,” he said. “How-
ever, the rise of remote workers and education programs creates
an urgent need for technology to keep the video collaboration
process running smoothly. With PanaCast Whiteboard, people
can brainstorm, host planning sessions, teach online courses and
more from anywhere in the world, all while engaging your team
and keeping the communication simple and natural.”
PanaCast Whiteboard is compatible with PCs running quad-
core Intel Core i7 processors and above, and can be viewed
by participants on any video collaboration app via laptop,
tablet, or phone.
“My clients are sometimes more interested in my whiteboard
sketches than seeing my face,” said Dean Heckler, President of
PanaCast Whiteboard beta user Heckler Design. “When using
PanaCast Vision, our whiteboard becomes an active meeting par-
ticipant, creating another powerful communication tool for Heck-
Stuart Evans, Distinguished Service Professor at Carnegie
Mellon University, said: “With PanaCast, students feel like it’s
one classroom. They can glance at the panoramic video and see
their classmates, no matter how far away they really are.”
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