70 citations · 85 across the 10 of their papers we have counts for
11 papers
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman +13
Deep learning methods are transforming research, enabling new techniques, and ultimately leading to new discoveries. As the demand for more capable AI models continues to grow, we…
nelli: a lightweight frontend for MLIR
Maksim Levental, Alok Kamatar, Ryan Chard +2
Multi-Level Intermediate Representation (MLIR) is a novel compiler infrastructure that aims to provide modular and extensible components to facilitate building domain specific comp…
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science
Maksim Levental, Arham Khan, Ryan Chard +3
In many experiment-driven scientific domains, such as high-energy physics, material science, and cosmology, high data rate experiments impose hard constraints on data acquisition s…
Real-Time Streaming and Event-driven Control of Scientific Experiments
Jakob R. Elias, Ryan Chard, Maksim Levental +3
Advancements in scientific instrument sensors and connected devices provide unprecedented insight into ongoing experiments and present new opportunities for control, optimization,…
Memory Planning for Deep Neural Networks
Maksim Levental
We study memory allocation patterns in DNNs during inference, in the context of large-scale systems. We observe that such memory allocation patterns, in the context of multi-thread…
A Hardware Co-design Workflow for Scientific Instruments at the Edge
Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer +3
As spatial and temporal resolutions of scientific instruments improve, the explosion in the volume of data produced is becoming a key challenge. It can be a critical bottleneck for…
Tensor Networks for Simulating Quantum Circuits on FPGAs
Maksim Levental
Most research in quantum computing today is performed against simulations of quantum computers rather than true quantum computers. Simulating a quantum computer entails implementin…
Ultrafast Focus Detection for Automated Microscopy
Maksim Levental, Ryan Chard, Kyle Chard +2
Technological advancements in modern scientific instruments, such as scanning electron microscopes (SEMs), have significantly increased data acquisition rates and image resolutions…
Comparing the costs of abstraction for DL frameworks
Maksim Levental, Elena Orlova
High level abstractions for implementing, training, and testing Deep Learning (DL) models abound. Such frameworks function primarily by abstracting away the implementation details…
Accelerated, Scalable and Reproducible AI-driven Gravitational Wave Detection
E. A. Huerta, Asad Khan, Xiaobo Huang +10
The development of reusable artificial intelligence (AI) models for wider use and rigorous validation by the community promises to unlock new opportunities in multi-messenger astro…
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis
Maksim Levental, Ryan Chard, Joseph A. Libera +8
Flame Spray Pyrolysis (FSP) is a manufacturing technique to mass produce engineered nanoparticles for applications in catalysis, energy materials, composites, and more. FSP instrum…