24 citations · 46 across the 7 of their papers we have counts for
7 papers
Hybrid continuous-discrete-variable quantum computing: a guide to utility
A. F. Kemper, Antonios Alvertis, Muhammad Asaduzzaman +24
Quantum computing has traditionally centered around the discrete variable paradigm. A new direction is the inclusion of continuous variable modes and the consideration of a hybrid…
A Closeness Centrality-based Circuit Partitioner for Quantum Simulations
Doru Thom Popovici, Harlin Lee, Mauro Del Ben +5
Simulating quantum circuits (QC) on high-performance computing (HPC) systems has become an essential method to benchmark algorithms and probe the potential of large-scale quantum c…
Towards An Approach to Identify Divergences in Hardware Designs for HPC Workloads
Doru Thom Popovici, Mario Vega, Angelos Ioannou +6
Developing efficient hardware accelerators for mathematical kernels used in scientific applications and machine learning has traditionally been a labor-intensive task. These accele…
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics
Arash Ardakani, Altan Haan, Shangyin Tan +4
Transformer-based models, such as BERT and ViT, have achieved state-of-the-art results across different natural language processing (NLP) and computer vision (CV) tasks. However, t…
Distributed Memory, GPU Accelerated Fock Construction for Hybrid, Gaussian Basis Density Functional Theory
David B. Williams-Young, Andrey Asadchev, Doru Thom Popovici +5
With the growing reliance of modern supercomputers on accelerator-based architectures such a GPUs, the development and optimization of electronic structure methods to exploit these…
A High-Throughput Solver for Marginalized Graph Kernels on GPU
Yu-Hang Tang, Oguz Selvitopi, Doru Popovici +1
We present the design and optimization of a linear solver on General Purpose GPUs for the efficient and high-throughput evaluation of the marginalized graph kernel between pairs of…
A Flexible Framework for Parallel Multi-Dimensional DFTs
Doru Thom Popovici, Martin D. Schatz, Franz Franchetti +1
Multi-dimensional discrete Fourier transforms (DFT) are typically decomposed into multiple 1D transforms. Hence, parallel implementations of any multi-dimensional DFT focus on para…