TY - GEN
AB - Memory Gym presents a suite of 2D partially observable environments, namely
Mortar Mayhem, Mystery Path, and Searing Spotlights, designed to benchmark
memory capabilities in decision-making agents. These environments, originally
with finite tasks, are expanded into innovative, endless formats, mirroring the
escalating challenges of cumulative memory games such as ``I packed my bag''.
This progression in task design shifts the focus from merely assessing sample
efficiency to also probing the levels of memory effectiveness in dynamic,
prolonged scenarios. To address the gap in available memory-based Deep
Reinforcement Learning baselines, we introduce an implementation that
integrates Transformer-XL (TrXL) with Proximal Policy Optimization. This
approach utilizes TrXL as a form of episodic memory, employing a sliding window
technique. Our comparative study between the Gated Recurrent Unit (GRU) and
TrXL reveals varied performances across different settings. TrXL, on the finite
environments, demonstrates superior sample efficiency in Mystery Path and
outperforms in Mortar Mayhem. However, GRU is more efficient on Searing
Spotlights. Most notably, in all endless tasks, GRU makes a remarkable
resurgence, consistently outperforming TrXL by significant margins. Website and
Source Code: https://github.com/MarcoMeter/endless-memory-gym/
AU - Pleines, Marco
AU - Pallasch, Matthias
AU - Zimmer, Frank
AU - Preuss, Mike
ID - 50221
T2 - arXiv:2309.17207
TI - Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents
ER -
TY - CHAP
AU - Alt, Christoph
AU - Kenter, Tobias
AU - Faghih-Naini, Sara
AU - Faj, Jennifer
AU - Opdenhövel, Jan-Oliver
AU - Plessl, Christian
AU - Aizinger, Vadym
AU - Hönig, Jan
AU - Köstler, Harald
ID - 46191
SN - 0302-9743
T2 - Lecture Notes in Computer Science
TI - Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline
ER -
TY - GEN
AB - This preprint makes the claim of having computed the $9^{th}$ Dedekind
Number. This was done by building an efficient FPGA Accelerator for the core
operation of the process, and parallelizing it on the Noctua 2 Supercluster at
Paderborn University. The resulting value is
286386577668298411128469151667598498812366. This value can be verified in two
steps. We have made the data file containing the 490M results available, each
of which can be verified separately on CPU, and the whole file sums to our
proposed value.
AU - Van Hirtum, Lennart
AU - De Causmaecker, Patrick
AU - Goemaere, Jens
AU - Kenter, Tobias
AU - Riebler, Heinrich
AU - Lass, Michael
AU - Plessl, Christian
ID - 43439
T2 - arXiv:2304.03039
TI - A computation of D(9) using FPGA Supercomputing
ER -
TY - GEN
AB - We investigate the early time development of the anisotropic transverse flow
and spatial eccentricities of a fireball with various particle-based transport
approaches using a fixed initial condition. In numerical simulations ranging
from the quasi-collisionless case to the hydrodynamic regime, we find that the
onset of $v_n$ and of related measures of anisotropic flow can be described
with a simple power-law ansatz, with an exponent that depends on the amount of
rescatterings in the system. In the few-rescatterings regime we perform
semi-analytical calculations, based on a systematic expansion in powers of time
and the cross section, which can reproduce the numerical findings.
AU - Borghini, Nicolas
AU - Borrell, Marc
AU - Roch, Hendrik
ID - 32177
T2 - arXiv:2201.13294
TI - Early time behavior of spatial and momentum anisotropies in kinetic theory across different Knudsen numbers
ER -
TY - GEN
AB - We test the ability of the "escape mechanism" to create the anisotropic flow
observed in high-energy nuclear collisions. We compare the flow harmonics $v_n$
in the few-rescatterings regime from two types of transport simulations, with
$2\to 2$ and $2\to 0$ collision kernels respectively, and from analytical
calculations neglecting the gain term of the Boltzmann equation. We find that
the even flow harmonics are similar in the three approaches, while the odd
harmonics differ significantly.
AU - Bachmann, Benedikt
AU - Borghini, Nicolas
AU - Feld, Nina
AU - Roch, Hendrik
ID - 32178
T2 - arXiv:2203.13306
TI - Even anisotropic-flow harmonics are from Venus, odd ones are from Mars
ER -
TY - JOUR
AU - Hou, W
AU - Yao, Y
AU - Li, Y
AU - Peng, B
AU - Shi, K
AU - Zhou, Z
AU - Pan, J
AU - Liu, M
AU - Hu, J
ID - 32183
IS - 1
JF - Frontiers of materials science
SN - 2095-025x
TI - Linearly shifting ferromagnetic resonance response of La0.7Sr0.3MnO3 thin film for body temperature sensors
VL - 16
ER -
TY - JOUR
AU - Wojciechowski, M
ID - 32234
JF - Data Brief
SN - 2352-3409
TI - Dataset for random uniform distributions of 2D circles and 3D spheres.
VL - 43
ER -
TY - THES
AU - Lass, Michael
ID - 32414
TI - Bringing Massive Parallelism and Hardware Acceleration to Linear Scaling Density Functional Theory Through Targeted Approximations
ER -
TY - GEN
AB - The Julia programming language has evolved into a modern alternative to fill existing gaps in scientific computing and data science applications. Julia leverages a unified and coordinated single-language and ecosystem paradigm and has a proven track record of achieving high performance without sacrificing user productivity. These aspects make Julia a viable alternative to high-performance computing's (HPC's) existing and increasingly costly many-body workflow composition strategy in which traditional HPC languages (e.g., Fortran, C, C++) are used for simulations, and higher-level languages (e.g., Python, R, MATLAB) are used for data analysis and interactive computing. Julia's rapid growth in language capabilities, package ecosystem, and community make it a promising universal language for HPC. This paper presents the views of a multidisciplinary group of researchers from academia, government, and industry that advocate for an HPC software development paradigm that emphasizes developer productivity, workflow portability, and low barriers for entry. We believe that the Julia programming language, its ecosystem, and its community provide modern and powerful capabilities that enable this group's objectives. Crucially, we believe that Julia can provide a feasible and less costly approach to programming scientific applications and workflows that target HPC facilities. In this work, we examine the current practice and role of Julia as a common, end-to-end programming model to address major challenges in scientific reproducibility, data-driven AI/machine learning, co-design and workflows, scalability and performance portability in heterogeneous computing, network communication, data management, and community education. As a result, the diversification of current investments to fulfill the needs of the upcoming decade is crucial as more supercomputing centers prepare for the exascale era.
AU - Churavy, Valentin
AU - Godoy, William F
AU - Bauer, Carsten
AU - Ranocha, Hendrik
AU - Schlottke-Lakemper, Michael
AU - Räss, Ludovic
AU - Blaschke, Johannes
AU - Giordano, Mosè
AU - Schnetter, Erik
AU - Omlin, Samuel
AU - Vetter, Jeffrey S
AU - Edelman, Alan
ID - 36879
TI - Bridging HPC Communities through the Julia Programming Language
ER -
TY - JOUR
AB - AbstractTailored nanoscale quantum light sources, matching the specific needs of use cases, are crucial building blocks for photonic quantum technologies. Several different approaches to realize solid-state quantum emitters with high performance have been pursued and different concepts for energy tuning have been established. However, the properties of the emitted photons are always defined by the individual quantum emitter and can therefore not be controlled with full flexibility. Here we introduce an all-optical nonlinear method to tailor and control the single photon emission. We demonstrate a laser-controlled down-conversion process from an excited state of a semiconductor quantum three-level system. Based on this concept, we realize energy tuning and polarization control of the single photon emission with a control-laser field. Our results mark an important step towards tailored single photon emission from a photonic quantum system based on quantum optical principles.
AU - Jonas, B.
AU - Heinze, Dirk Florian
AU - Schöll, E.
AU - Kallert, P.
AU - Langer, T.
AU - Krehs, S.
AU - Widhalm, A.
AU - Jöns, Klaus
AU - Reuter, Dirk
AU - Schumacher, Stefan
AU - Zrenner, Artur
ID - 40523
IS - 1
JF - Nature Communications
KW - General Physics and Astronomy
KW - General Biochemistry
KW - Genetics and Molecular Biology
KW - General Chemistry
KW - Multidisciplinary
SN - 2041-1723
TI - Nonlinear down-conversion in a single quantum dot
VL - 13
ER -