AToM Research Thrusts
Task |
Description |
Lead |
Support |
---|---|---|---|
A2 |
Optimize CGYRO for CPU/GPU |
Fann |
Kalling, Candy |
A3 |
AToM build system, packaging and distribution |
Smith |
Kalling, Elwasif, Green, Candy |
A4 |
Supported community (HPC) AToM installations |
Green |
Elwasif, Smith, Meneghini |
A6 |
Outreach: website, online tutorials and code-camps |
Smith |
All |
A7 |
Extend OMFIT to support remote data access of HPC simulations |
Meneghini |
|
A8 |
Facilitate transfer of simulation results to experiment setup |
Smith |
Eldon |
A9 |
Embed IPS workflow generation into OMFIT |
Meneghini |
Green, Elwasif |
A10 |
Adapt the IPS to support modern storage hierarchies |
Elwasif |
Bernholdt, Batchelor |
A11 |
Support for sub-node-sized tasks |
Elwasif |
Bernholdt, Batchelor |
A12 |
Enhance IPS scalability for massive concurrency |
Elwasif |
Bernholdt |
Task |
Description |
Lead |
Support |
---|---|---|---|
B1 |
Implement enhanced core physics modules |
Park |
Green, Smith, Belli |
B2 |
Implement leadership-scale physics modules |
Belli |
Candy, Chen |
B3 |
Enhance pedestal physics model |
Snyder |
Park, Meneghini, Smith |
B4 |
Modular enhancement of SOL physics model |
Green |
Park, Meneghini, Smith |
B5 |
Implement robust profile-matching algorithm |
Green |
Park, Meneghini, Smith |
B6 |
Extend SOL domain to the first wall |
Park |
Green |
B7 |
Include multispecies impurities |
Park |
Green |
B10 |
Reduced model of GK micro-turbulence |
Meneghini |
Cianciosa |
Task |
Description |
Lead |
Support |
---|---|---|---|
C1 |
Identify initial benchmark cases |
Holland |
Park, Smith |
C4 |
Core turbulent transport model validation and UQ |
Holland |
Howard, Chen |
C5 |
Inverse method capability for integrated workflow models |
Cianciosa |
Green |
C7 |
Test core-pedestal-SOL-impurity coupling |
Bonoli |
Park, Candy |
Task |
Description |
Lead |
Support |
---|---|---|---|
D1 |
High-fidelity modeling of ITER inductive and steady-state scenarios |
Kessel |
Holland, Park, Batchelor, Bonoli, Sachdev, Pankin |
D2 |
Predictive modeling and optimization of proposed future facilities |
Kessel |
Holland, Park, Batchelor, Bonoli, Sachdev, Pankin |
D4 |
Interaction between low-n energetic particles driven modes and microturbulence |
Chen |
Orlov |
D5 |
Multiscale simulations of experimental plasma conditions |
Howard |
Holland, Candy |
D6 |
Modeling temporal multiscale effects of neutral dynamics |
Dorf |
Umansky, Dorr |
Task |
Description |
Lead |
Support |
---|---|---|---|
E1 |
Scalable provenance capture from AToM simulations |
Bernholdt |
Kostuk, Meneghini |
E2 |
Simulation data management |
Kostuk |
Kalling, Meneghini, Smith, Elwasif |
E3 |
Interoperability with ITER IMAS data model |
Kalling |
Kostuk, Meneghini, Elwasif, Bernholdt |
Task |
Description |
Lead |
Support |
---|---|---|---|
F1 |
Liaison to RF Modules |
Bonoli |
|
F2 |
Liaison to Energetic Particle Modules |
Chen |
|
F3 |
Liaison to SciDAC-4 Plasma Material Interactions Center |
Green |
Snyder |
F4 |
Liaison to SciDAC-4 Transients Center |
Orlov |
|
F5 |
Liaison to SciDAC-4 Boundary Center |
Dorf |