Frameworks Used for AI, ML, DL, and HPDA Workloads
Authors: Jaclyn Ludema and Tom Sorensen
Publication Date: July 2023
Length: 4 pages
A part of the annual Hyperion Research HPC Multi-Client study (MCS) tracks the various application frameworks respondents use on their HPC systems to discover trends in user preference for the way applications are built and deployed, as well as trends in the functionalities users desire in their solutions and products. This year’s iteration of the MCS found the most popular AI/ML/DL and data intensive frameworks were TensorFlow, PyTorch, Jupyter Notebook, SQL, CUDA, Hadoop, and Spark. This data is from an annual study that is part of the eighth edition of Hyperion Research’s HPC end-user-based tracking of the HPC marketplace. It included 181 HPC end-user sites with 3,830 HPC systems.
Perspectives on Sustainability in HPC: Current Views and Future Considerations
Jaclyn Ludema, Mark Nossokoff
Sustainability is the societal goal of existing on this planet in a way that meets the needs of today without compromising the needs of future generations. Sustainability in terms of the HPC market can be described as meeting the needs of present users without compromising the needs of future users, with a focus on the extraordinary power requirements of HPC systems. Over the past few years, Hyperion Research has been tracking the growing influence the goal of sustainability has had on HPC procurement decision-making at various HPC sites around the world. HPC site managers/directors have had to consider the current global energy crisis and geopolitical climate alongside the HPC market, and begin planning and implementing ways to make HPC operations at their sites more sustainable.
March 2023 | Special Study
Attributes of the Top National Buyers of HPC Resources for Deep Learning and Machine Learning
Steve Conway, Earl Joseph, Bob Sorensen and Alex Norton
Hyperion Research covers the worldwide market for deep learning (DL) and machine learning (ML) that is challenging enough to require the use of HPC server systems and other HPC resources (we do not cover the mainstream DL/ML market that does not use HPC, e.g. social media and large internet providers).
February 2018 | Special Study