AI
Search Results for deep learning chip
Cloud
Open Hardware Pushes GPU Computing Envelope
The hyperscalers of the world are increasingly dependent on machine learning algorithms for providing a significant part of the user experience and operations of their massive applications, so it is not much of a surprise that they are also pushing the envelope on machine learning frameworks and systems that are used to deploy those frameworks. …
Compute
Chinese Researchers One Step Closer to Parallel Turing Machine
Parallel computing has become a bedrock in the HPC field, where applications are becoming increasingly complex and such compute-intensive technologies as data analytics, deep learning and artificial intelligence (AI) are rapidly emerging. …
Compute
High Times for Low-Precision Hardware
Processor makers are pushing down the precision for a range of new and forthcoming devices, driven by a need that balances accuracy with energy-efficient performance for an emerging set of workloads. …
Compute
AMD Researchers Eye APUs For Exascale
Exascale computing, which has been long talked about, is now – if everything remains on track – only a few years away. …
AI
Promises, Challenges Ahead for Near-Memory, In-Memory Processing
The idea of bringing compute and memory functions in computers closer together physically within the systems to accelerate the processing of data is not a new one. …
Code
Inside Exxon’s Effort to Scale Homegrown Codes, Keep Architectural Pace
Many oil and gas exploration shops have invested many years and many more millions of dollars into homegrown codes, which is critical internally (competitiveness, specialization, etc.) …
Compute
Japan Keeps Accelerating With Tsubame 3.0 AI Supercomputer
The Global Scientific Information and Computing Center at the Tokyo Institute of Technology has been at the forefront of accelerated computing, and well before GPUs came along and made acceleration not only cool but affordable and normal. …
Compute
Large-Scale Quantum Computing Prototype on Horizon
What supercomputers will look like in the future, post-Moore’s Law, is still a bit hazy. …
AI
Memristor Research Highlights Neuromorphic Device Future
Much of the talk around artificial intelligence these days focuses on software efforts – various algorithms and neural networks – and such hardware devices as custom ASICs for those neural networks and chips like GPUs and FPGAs that can help the development of reprogrammable systems. …