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151 to 160 of 855 Results

LICENSE Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study Plain Text - 1.3 KB - MD5: e4224ccaecb14d942c71d31bef20d78c
README.md Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study Markdown Text - 2.3 KB - MD5: 6b5d01bec4fbbdce1065a72f24739b6d
shared_benchmark.sh Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study Shell Script - 5.8 KB - MD5: a25f818bbaaf866eceafe914f108a4a8
vector_2d.hpp Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study Unknown - 6.6 KB - MD5: ec87c572313a0ca1d4842cad71ddd260
Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL Mar 19, 2024 Bantel, Linus; Domanski, Peter, 2024, "Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL", https://doi.org/10.18419/DARUS-4085, DaRUS, V1, UNF:6:8MdHTluRf6u9Vntb4fvs/g== [fileUNF] Recorded Data of the Swingup Task on the Inverted Cartpole IP-02 by Quanser. State transitions are as following: (pos, pos_dot, phi, phi_dot, action) -> (pos_new, pos_dot_new, phi_new, phi_dot_new) Actions are discrete from 0 to 8, with 4 being the zero-action. I.e. 0 and 8 are full force in either direction.
pendulum_data_swingup.tab Mar 19, 2024 - Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL Tabular Data - 68.5 MB - 9 Variables, 594544 Observations - UNF:6:8MdHTluRf6u9Vntb4fvs/g==
Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Jun 27, 2023 Pollinger, Theresa, 2023, "Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique", https://doi.org/10.18419/DARUS-3393, DaRUS, V1 We ran different fractions of the combination technique scenario described in the publication, also widely-distributed between the two machines SuperMUC-NG (file suffix `_ng`) and Hawk (file suffix `_hawk`). The dataset contains input files to generate the scenarios on the respective HPC system (labelled "input"), and the resulting output files, me...
ArtifactDescription.pdf Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Adobe PDF - 282.5 KB - MD5: 96165741f21917f32564db6fcc3e7667
create_weak_combischemes_out.txt Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Plain Text - 10.3 KB - MD5: 131adb2a957a58ceb468b89ac88a0aeb input
create_weak_combischemes.sh Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique Shell Script - 1.4 KB - MD5: c2fff04c1043a9c5642ada4dce5950cc preprocessingscript

LICENSE

Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study

Plain Text - 1.3 KB -

README.md

Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study

Markdown Text - 2.3 KB -

shared_benchmark.sh

Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study

Shell Script - 5.8 KB -

vector_2d.hpp

Apr 2, 2024 - Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study

Unknown - 6.6 KB -

Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL

Mar 19, 2024

Bantel, Linus; Domanski, Peter, 2024, "Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL", https://doi.org/10.18419/DARUS-4085, DaRUS, V1, UNF:6:8MdHTluRf6u9Vntb4fvs/g== [fileUNF]

Recorded Data of the Swingup Task on the Inverted Cartpole IP-02 by Quanser. State transitions are as following: (pos, pos_dot, phi, phi_dot, action) -> (pos_new, pos_dot_new, phi_new, phi_dot_new) Actions are discrete from 0 to 8, with 4 being the zero-action. I.e. 0 and 8 are full force in either direction.

pendulum_data_swingup.tab

Mar 19, 2024 - Quanser IP-02 Inverted Cartpole Measurement Data for Analysis and Offline RL

Tabular Data - 68.5 MB - 9 Variables, 594544 Observations -

Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Jun 27, 2023

Pollinger, Theresa, 2023, "Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique", https://doi.org/10.18419/DARUS-3393, DaRUS, V1

We ran different fractions of the combination technique scenario described in the publication, also widely-distributed between the two machines SuperMUC-NG (file suffix `_ng`) and Hawk (file suffix `_hawk`). The dataset contains input files to generate the scenarios on the respective HPC system (labelled "input"), and the resulting output files, me...

ArtifactDescription.pdf

Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Adobe PDF - 282.5 KB -

create_weak_combischemes_out.txt

Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Plain Text - 10.3 KB -

input

create_weak_combischemes.sh

Jun 27, 2023 - Replication Data for: Leveraging the compute power of two HPC systems for higher-dimensional grid-based simulations with the widely-distributed sparse grid combination technique

Shell Script - 1.4 KB -

preprocessingscript

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