2011 Particle Accelerator Conference - List of Authors (Sun, C.)

Paper

Title

Page

Dynamic Aperture Optimization using Genetic Algorithms

793

C. Sun, H. Nishimura, D. Robin, C. Steier, W. Wan
LBNL, Berkeley, California, USA

Genetic Algorithm is successfully applied to optimize dynamic aperture of lattices for ALS future upgrades. It is demonstrated that the optimization using total diffusion rate as objective has a better performance than the one using dynamic aperture area. The linear and non-linear properties of the lattice are optimized simultaneously, and trade-offs are found among the small emittance, low-beta function and large dynamic aperture. These trade-offs can provide us a guideline to choose a candidate lattice for ALS future upgrades.

Slides TUODN4 [1.781 MB]

WEP031

Low-Emittance Lattice Designs for ALS Ultimate Upgrade

1549

C. Sun, H. Nishimura, D. Robin, C. Steier, W. Wan
LBNL, Berkeley, California, USA

Based upon the Theoretical Minimum Emittance (TME) technique, a new method has been developed to optimize low-emittance and low-beta lattices for further brightness upgrades at the Advanced Light Source (ALS). The study provides us a different perspective on the lattice design, and confirms results earlier found using both Global Scan of All Stable Settings (GLASS) and Genetic Algorithms (GA) techniques. Since the optimal low-beta lattice may have a dynamic aperture too small to allow off-axis injection, to overcome this problem, an alternating high-low beta lattice could be used for the upgrade. Several options of these high-low beta lattices are investigated using Genetic Algorithms.

WEP150

GPU Computing for Particle Tracking

1764

H. Nishimura, S. James, K. Muriki, Y. Qin, K. Song, C. Sun
LBNL, Berkeley, California, USA

Funding: Work supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
This is a feasibility study of using a modern Graphics Processing Unit (GPU) to parallelize the accelerator particle tracking code. To demonstrate the massive parallelization features provided by GPU computing, a simplified TracyGPU program is developed for dynamic aperture calculation. Performances, issues, and challenges from introducing GPU are also discussed.

WEP151

HPC Cloud Applied to Lattice Optimization

1767

C. Sun, S. James, K. Muriki, H. Nishimura, Y. Qin, K. Song
LBNL, Berkeley, California, USA

Funding: Work supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon’s new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.

TUOCS3

Status of the ALS Upgrade

769

C. Steier, B.J. Bailey, A. Biocca, A.T. Black, D. Colomb, N. Li, A. Madur, S. Marks, H. Nishimura, G.C. Pappas, G.J. Portmann, S. Prestemon, D. Robin, S.L. Rossi, F. Sannibale, T. Scarvie, D. Schlueter, C. Sun, W. Wan
LBNL, Berkeley, California, USA

Funding: Work supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231
The Advanced Light Source (ALS) at Berkeley Lab is one of the earliest 3rd generation light sources. Over the years substantial upgrades have been implemented to keep the facility at the forefront of soft x-ray sources. The most recent one is a multi-year upgrade, that includes new and replacement x-ray beamlines, a replacement of many of the original insertion devices and many upgrades to the accelerator. The accelerator upgrade that affects the ALS performance most directly is the ALS brightness upgrade, which will reduce the horizontal emittance from 6.3 to 2.2 nm. This will result in a brightness increase by a factor of three for bend magnet beamlines and at least a factor of two for insertion device beamlines and will keep the ALS competitive with newer sources.

Slides TUOCS3 [4.970 MB]

Paper	Title	Page
TUODN4	Dynamic Aperture Optimization using Genetic Algorithms	793
	C. Sun, H. Nishimura, D. Robin, C. Steier, W. Wan LBNL, Berkeley, California, USA
	Genetic Algorithm is successfully applied to optimize dynamic aperture of lattices for ALS future upgrades. It is demonstrated that the optimization using total diffusion rate as objective has a better performance than the one using dynamic aperture area. The linear and non-linear properties of the lattice are optimized simultaneously, and trade-offs are found among the small emittance, low-beta function and large dynamic aperture. These trade-offs can provide us a guideline to choose a candidate lattice for ALS future upgrades.
	Slides TUODN4 [1.781 MB]

WEP031	Low-Emittance Lattice Designs for ALS Ultimate Upgrade	1549
	C. Sun, H. Nishimura, D. Robin, C. Steier, W. Wan LBNL, Berkeley, California, USA
	Based upon the Theoretical Minimum Emittance (TME) technique, a new method has been developed to optimize low-emittance and low-beta lattices for further brightness upgrades at the Advanced Light Source (ALS). The study provides us a different perspective on the lattice design, and confirms results earlier found using both Global Scan of All Stable Settings (GLASS) and Genetic Algorithms (GA) techniques. Since the optimal low-beta lattice may have a dynamic aperture too small to allow off-axis injection, to overcome this problem, an alternating high-low beta lattice could be used for the upgrade. Several options of these high-low beta lattices are investigated using Genetic Algorithms.

WEP150	GPU Computing for Particle Tracking	1764
	H. Nishimura, S. James, K. Muriki, Y. Qin, K. Song, C. Sun LBNL, Berkeley, California, USA
	Funding: Work supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 This is a feasibility study of using a modern Graphics Processing Unit (GPU) to parallelize the accelerator particle tracking code. To demonstrate the massive parallelization features provided by GPU computing, a simplified TracyGPU program is developed for dynamic aperture calculation. Performances, issues, and challenges from introducing GPU are also discussed.

WEP151	HPC Cloud Applied to Lattice Optimization	1767
	C. Sun, S. James, K. Muriki, H. Nishimura, Y. Qin, K. Song LBNL, Berkeley, California, USA
	Funding: Work supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 As Cloud services gain in popularity for enterprise use, vendors are now turning their focus towards providing cloud services suitable for scientific computing. Recently, Amazon Elastic Compute Cloud (EC2) introduced the new Cluster Compute Instances (CCI), a new instance type specifically designed for High Performance Computing (HPC) applications. At Berkeley Lab, the physicists at the Advanced Light Source (ALS) have been running Lattice Optimization on a local cluster, but the queue wait time and the flexibility to request compute resources when needed are not ideal for rapid development work. To explore alternatives, for the first time we investigate running the Lattice Optimization application on Amazon’s new CCI to demonstrate the feasibility and trade-offs of using public cloud services for science.

TUOCS3	Status of the ALS Upgrade	769
	C. Steier, B.J. Bailey, A. Biocca, A.T. Black, D. Colomb, N. Li, A. Madur, S. Marks, H. Nishimura, G.C. Pappas, G.J. Portmann, S. Prestemon, D. Robin, S.L. Rossi, F. Sannibale, T. Scarvie, D. Schlueter, C. Sun, W. Wan LBNL, Berkeley, California, USA
	Funding: Work supported by the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 The Advanced Light Source (ALS) at Berkeley Lab is one of the earliest 3rd generation light sources. Over the years substantial upgrades have been implemented to keep the facility at the forefront of soft x-ray sources. The most recent one is a multi-year upgrade, that includes new and replacement x-ray beamlines, a replacement of many of the original insertion devices and many upgrades to the accelerator. The accelerator upgrade that affects the ALS performance most directly is the ALS brightness upgrade, which will reduce the horizontal emittance from 6.3 to 2.2 nm. This will result in a brightness increase by a factor of three for bend magnet beamlines and at least a factor of two for insertion device beamlines and will keep the ALS competitive with newer sources.
	Slides TUOCS3 [4.970 MB]