The 17th Annual Energy High Performance Computing Conference hosted by the Ken Kennedy Institute at Rice University, to be held March 5-7, 2024, has issued an invitation to submit an abstract for presentation. The deadline is Monday, January 15, 2024 at 11:59 PM CT. Abstract submission information can be found here. Conference organizers invite prospective speakers […]
Jan. 20 Deadline for Abstracts for Energy HPC Conference at Ken Kennedy Institute, Rice Univ.
November 30, 2022 by
Nov. 30, 2022 — Friday, Jan. 20, 2023 is the deadline to submit an extended abstract for presentation at the 16th Annual 2023 Energy High Performance Computing Conference hosted by the Ken Kennedy Institute at Rice University, February 28 – March 2, 2023. Acceptance notices will be issues on February 1. The conference invites prospective speakers […]
Rice Team Wins $1.5 NSF Award for Biomolecule-based Data Storage
August 19, 2022 by
Rice University synthetic biologists have won a $1.5 million grant from the National Science Foundation (NSF) to modify living cells to act as memory-storage devices, the university announced today. NSF issued the award for research by principal investigator Jonathan Silberg, the Stewart Memorial Professor of Biochemistry, and his colleagues to make the equivalent of read-write-erase […]
15th Annual Energy High Performance Computing Conference to Be In-person March 1-3
February 10, 2022 by
Hosted annually at Rice University in Houston by the Ken Kennedy Institute, the Energy HPC Conference examines challenges and opportunities in HPC, computational science and engineering, machine learning, and data science. Registration for the conference is here. The final schedule will be released next week. Early bird registration ends February 18th. The agenda for the […]
Rice Univ. Researchers Claim 15x AI Model Training Speed-up Using CPUs
April 23, 2021 by
Reports are circulating in AI circles that researchers from Rice University claim a breakthrough in AI model training acceleration – without using accelerators. Running AI software on commodity x86 CPUs, the Rice computer science team say neural networks can be trained 15x faster than platforms utilizing GPUs. If valid, the new approach would be a double boon for organizations implementing AI strategies: faster model training using less costly microprocessors.
Intel, NSF Name Winners of Wireless Machine Learning Research Funding
June 25, 2020 by
Intel and the National Science Foundation (NSF), joint funders of the Machine Learning for Wireless Networking Systems (MLWiNS) program, today announced recipients of awards for research projects into ultra-dense wireless systems that deliver the throughput, latency and reliability requirements of future applications – including distributed machine learning computations over wireless edge networks. Here are the […]
SLIDE algorithm for training deep neural nets faster on CPUs than GPUs
March 2, 2020 by
Rice researchers created a cost-saving alternative to GPU, an algorithm called “sub-linear deep learning engine” (SLIDE) that uses general purpose central processing units (CPUs) without specialized acceleration hardware. “Our tests show that SLIDE is the first smart algorithmic implementation of deep learning on CPU that can outperform GPU hardware acceleration on industry-scale recommendation datasets with large fully connected architectures.”
Deep Learning for Predicting Severe Weather
February 6, 2020 by
Researchers from Rice University have introduced a data-driven framework that formulates extreme weather prediction as a pattern recognition problem, employing state-of-the-art deep learning techniques. “In this paper, we show that with deep learning you can do analog forecasting with very complicated weather data — there’s a lot of promise in this approach.”
Panel Discussion: Delivering Exascale Computing for the Oil and Gas Industry
March 19, 2018 by
In this video from the 2018 Rice Oil & Gas Conference, Addison Snell from Intersect360 Research leads a panel discussion on Exascale computing. “High-end computing and information technology continues to stand out across the industry as a critical business enabler and differentiator with a relatively well understood return on investment. However, challenges such as constantly changing technology landscape, increasing focus on software and software innovation, and escalating concerns around workforce development still remain.”
Registration Opens for Rice Oil & Gas HPC Conference
January 15, 2017 by
Registration is now open for the 2017 Rice Oil & Gas HPC Conference. The event takes place March 15-16 in Houston, Texas. “Join us for the 10th anniversary of the Rice Oil & Gas HPC Conference. OG HPC is the premier meeting place for networking and discussion focused on computing and information technology challenges and needs in the oil and gas industry.”
