6 citations · 9 across the 5 of their papers we have counts for
6 papers
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…
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…
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…