AI
Scaling Deep Learning on an 18,000 GPU Supercomputer
It is one thing to scale a neural network on a single GPU or even a single system with four or eight GPUs. …
AI
AI
Facebook Pushes The Search Envelope With GPUs
An increasing amount of the world’s data is encapsulated in images and video and by its very nature it is difficult and extremely compute intensive to do any kind of index and search against this data compared to the relative ease with which we can do so with the textual information that heretofore has dominated both our corporate and consumer lives. …
AI
Can FPGAs Beat GPUs in Accelerating Next-Generation Deep Learning?
Continued exponential growth of digital data of images, videos, and speech from sources such as social media and the internet-of-things is driving the need for analytics to make that data understandable and actionable. …
AI
Tuning Up Knights Landing For Gene Sequencing
The Smith-Waterman algorithm has become a linchpin in the rapidly expanding world of bioinformatics, the go-to computational model for DNA sequencing and local sequence alignments. …
AI
Apache Kafka Gives Large-Scale Image Processing a Boost
The digital world is becoming ever more visual. From webcams and drones to closed-circuit television and high-resolution satellites, the number of images created on a daily basis is increasing and in many cases, these images need to be processed in real- or near-real-time. …
AI
Google Expands Enterprise Cloud With Machine Learning
Google’s Cloud Platform is the relative newcomer on the public cloud block, and has a way to go before before it is in the same competitive sphere as Amazon Web Services and Microsoft Azure, both of which deliver a broader and deeper range of offerings and larger infrastructures. …
AI
An Early Look at Startup Graphcore’s Deep Learning Chip
As a thought exercise, let’s consider neural networks as massive graphs and begin considering the CPU as a passive slave to some higher order processor—one that can sling itself across multiple points on an ever-expanding network of connections feeding into itself, training, inferencing, and splitting off into multiple models on the same architecture. …
AI
Stanford’s TETRIS Clears Blocks for 3D Memory Based Deep Learning
The need for speed to process neural networks is far less a matter of processor capabilities and much more a function of memory bandwidth. …
AI
Japan to Unveil Pascal GPU-Based AI Supercomputer
A shared appetite for high performance computing hardware and frameworks is pushing both supercomputing and deep learning into the same territory. …