6 papers
Not Your Usual FFT: QFTFFT via Classical Quantum-Circuit Simulation
Stefano Markidis, Gilbert Netzer, Luca Pennati +2
We introduce QFTFFT, a family of HPC FFT libraries that compute the discrete Fourier transform by executing a quantum Fourier transform (QFT) circuit on classical quan…
Closer in the Gap: Towards Portable Performance on RISC-V Vector Processors
Ruimin Shi, Maya Gokhale, Pei-Hung Lin +2
The RISC-V Vector Extension~(RVV) is a cornerstone for supporting compute throughout in scientific and machine learning workloads. Yet compiler support and performance monitoring o…
Communication Offloading on SmartNIC DPUs: A Quantitative Approach
Jacob Wahlgren, Andong Hu, Roger Pearce +2
SmartNIC Data Processing Units (DPUs) offer a promising solution for saving high-end CPU resources by offloading tasks to programmable cores near the network interface. In this wor…
Taming GPU Underutilization via Static Partitioning and Fine-grained CPU Offloading
Gabin Schieffer, Ruimin Shi, Jie Ren +1
Advances in GPU compute throughput and memory capacity brings significant opportunities to a wide range of workloads. However, efficiently utilizing these resources remains challen…
Making Room for AI: Multi-GPU Molecular Dynamics with Deep Potentials in GROMACS
Luca Pennati, Andong Hu, Ivy Peng +2
GROMACS is a de-facto standard for classical Molecular Dynamics (MD). The rise of AI-driven interatomic potentials that pursue near-quantum accuracy at MD throughput now poses a si…
High-performance Vector-length Agnostic Quantum Circuit Simulations on ARM Processors
Ruimin Shi, Gabin Schieffer, Pei-Hung Lin +3
ARM SVE and RISC-V RVV are emerging vector architectures in high-end processors that support vectorization of flexible vector length. In this work, we leverage an important workloa…