17 citations · 40 across the 7 of their papers we have counts for
14 papers
QFAST: Conflating Search and Numerical Optimization for Scalable Quantum Circuit Synthesis
Ed Younis, Koushik Sen, Katherine Yelick +1
We present a quantum synthesis algorithm designed to produce short circuits and to scale well in practice. The main contribution is a novel representation of circuits able to encod…
10 Years Later: Cloud Computing is Closing the Performance Gap
Giulia Guidi, Marquita Ellis, Aydin Buluc +2
Can cloud computing infrastructures provide HPC-competitive performance for scientific applications broadly? Despite prolific related literature, this question remains open. Answer…
PersGNN: Applying Topological Data Analysis and Geometric Deep Learning to Structure-Based Protein Function Prediction
Nicolas Swenson, Aditi S. Krishnapriyan, Aydin Buluc +2
Understanding protein structure-function relationships is a key challenge in computational biology, with applications across the biotechnology and pharmaceutical industries. While…
Parallel String Graph Construction and Transitive Reduction for De Novo Genome Assembly
Giulia Guidi, Oguz Selvitopi, Marquita Ellis +3
One of the most computationally intensive tasks in computational biology is de novo genome assembly, the decoding of the sequence of an unknown genome from redundant and erroneous…
Opportunities and Challenges for Next Generation Computing
Gregory D. Hager, Mark D. Hill, Katherine Yelick
Computing has dramatically changed nearly every aspect of our lives, from business and agriculture to communication and entertainment. As a nation, we rely on computing in the desi…
Reducing Communication in Graph Neural Network Training
Alok Tripathy, Katherine Yelick, Aydin Buluc
Graph Neural Networks (GNNs) are powerful and flexible neural networks that use the naturally sparse connectivity information of the data. GNNs represent this connectivity as spars…