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The advent of exascale computing invites an assessment of existing best practices for developing application readiness on the world's largest supercomputers. This work details observations from the last four years in preparing scientific…

The A64FX CPU is arguably the most powerful Arm-based processor design to date. Although it is a traditional cache-based multicore processor, its peak performance and memory bandwidth rival accelerator devices. A good understanding of its…

Performance · Computer Science 2021-08-05 Christie Alappat , Nils Meyer , Jan Laukemann , Thomas Gruber , Georg Hager , Gerhard Wellein , Tilo Wettig

We introduce ProjectQ, an open source software effort for quantum computing. The first release features a compiler framework capable of targeting various types of hardware, a high-performance simulator with emulation capabilities, and…

Quantum Physics · Physics 2018-02-01 Damian S. Steiger , Thomas Häner , Matthias Troyer

We report an implementation of a multigrid solver for the Clover fermion on supercomputer Fugaku, which uses A64FX CPU with Arm architecture. On Fugaku, a highly optimized implementation of BiCGStab solver with domain decomposed…

High Energy Physics - Lattice · Physics 2021-12-02 Ken-Ichi Ishikawa , Issaku Kanamori , Hideo Matsufuru

We present Qibo, a new open-source software for fast evaluation of quantum circuits and adiabatic evolution which takes full advantage of hardware accelerators. The growing interest in quantum computing and the recent developments of…

We present a roadmap for open-source chiplet-based RISC-V systems targeting high-performance computing and artificial intelligence, aiming to close the performance gap to proprietary designs. Starting with Occamy, the first open,…

Hardware Architecture · Computer Science 2025-11-20 Paul Scheffler , Thomas Benz , Tim Fischer , Lorenzo Leone , Sina Arjmandpour , Luca Benini

Fast Multipole Methods (FMM) are a fundamental operation for the simulation of many physical problems. The high performance design of such methods usually requires to carefully tune the algorithm for both the targeted physics and the…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-04 Emmanuel Agullo , Béranger Bramas , Olivier Coulaud , Eric Darve , Matthias Messner , Takahashi Toru

Underwater simulators offer support for building robust underwater perception solutions. Significant work has recently been done to develop new simulators and to advance the performance of existing underwater simulators. Still, there…

Robotics · Computer Science 2025-08-12 Jingyu Song , Haoyu Ma , Onur Bagoren , Advaith V. Sethuraman , Yiting Zhang , Katherine A. Skinner

Deep learning can achieve outstanding results in various fields. However, it requires so significant computational power that graphics processing units (GPUs) and/or numerous computers are often required for the practical application. We…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-20 Ken Miura , Tatsuya Harada

This paper assesses and reports the experience of ten teams working to port,validate, and benchmark several High Performance Computing applications on a novel GPU-accelerated Arm testbed system. The testbed consists of eight NVIDIA Arm HPC…

We study the problem of teaching humanoid robots manipulation skills by imitating from single video demonstrations. We introduce OKAMI, a method that generates a manipulation plan from a single RGB-D video and derives a policy for…

Robotics · Computer Science 2024-10-16 Jinhan Li , Yifeng Zhu , Yuqi Xie , Zhenyu Jiang , Mingyo Seo , Georgios Pavlakos , Yuke Zhu

Origami offers a promising alternative for designing innovative soft robotic actuators. While features of origami, such as bi-directional motion and structural anisotropy, haven't been extensively explored in the past, this letter presents…

Robotics · Computer Science 2023-10-18 Shuai Liu , Sheeraz Athar , Michael Yu Wang

The architecture of Exascale computing facilities, which involves millions of heterogeneous processing units, will deeply impact on scientific applications. Future astrophysical HPC applications must be designed to make such computing…

Instrumentation and Methods for Astrophysics · Physics 2017-12-04 D. Goz , L. Tornatore , G. Taffoni , G. Murante

ML and HPC applications increasingly combine dense and sparse memory access computations to maximize storage efficiency. However, existing CPUs and GPUs struggle to flexibly handle these heterogeneous workloads with consistently high…

Origami-inspired robots offer rapid, accessible design and manufacture with diverse functionalities. In particular, origami robots without conventional electronics have the unique advantage of functioning in extreme environments such as…

Robotics · Computer Science 2026-03-26 Sean Liu , Ankur Mehta , Wenzhong Yan

In this paper, we propose a method for emulating double-precision general matrix--matrix multiplication (DGEMM), a fundamental and performance-critical kernel in many high-performance computing applications. Ozaki-I and Ozaki-II are…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-04-07 Yuki Uchino , Katsuhisa Ozaki , Toshiyuki Imamura

In this paper, we provide assembly instructions for an easy to build experimental setup in order to gain practical experience with tomography. In view of this, this paper can be seen as a complementary work to excellent mathematical…

Image and Video Processing · Electrical Eng. & Systems 2024-02-23 Axel Kittenberger , Leonidas Mindrinos , Otmar Scherzer

A comparison of PGI OpenACC, FORTRAN CUDA, and Nvidia CUDA pseudospectral methods on a single GPU and GCC FORTRAN on single and multiple CPU cores is reported. The GPU implementations use CuFFT and the CPU implementations use FFTW. Porting…

Computational Physics · Physics 2012-08-14 B. Cloutier , B. K. Muite , P. Rigge

The recent emergence of novel computational devices, such as adiabatic quantum computers, CMOS annealers, and optical parametric oscillators, present new opportunities for hybrid-optimization algorithms that are hardware accelerated by…

Optimization and Control · Mathematics 2019-06-20 Carleton Coffrin , Harsha Nagarajan , Russell Bent

The X-Ray Imaging and Spectroscopy Mission (XRISM) is the seventh Japanese X-ray observatory whose development and operation are in collaboration with universities and research institutes in Japan, the United States, and Europe, including…