Palo Alto Medical Foundation ClinicPalo Alto Medical Foundation Sunnivale 301 Old San Francisco Rd FL 2, Sunnyvale, CA 94086 (408)7304360 (phone), (408)7302801 (fax)
Education:
Medical School University of California, Davis School of Medicine Graduated: 1999
Procedures:
Destruction of Benign/Premalignant Skin Lesions Hearing Evaluation Psychological and Neuropsychological Tests Vaccine Administration
Dr. Liang graduated from the University of California, Davis School of Medicine in 1999. She works in Sunnyvale, CA and specializes in Family Medicine. Dr. Liang is affiliated with El Camino Hospital.
Shen Xiong Wu - Brooklyn NY, US Jian Wen Liang - Brooklyn NY, US
International Classification:
B65D 6/28 B65D 8/18
US Classification:
220 421, 220782, 206508
Abstract:
This invention is directed to a food container comprising a lid and a base. The lid and base form three seals, including a locking seal, to prevent the leakage or spoilage of food during transport or temporary storage. Blades on the lid sealing edge and blades on the base sealing edge strengthen said edges, and further reinforce the seals formed between the lid and base. The lid and base, separately or when assembled, are stably stackable requiring a minimal amount of storage space.
Efficient Dependency Detection For Concurrent Binning Gpu Workloads
- San Diego CA, US Andrew Yelder - New York NY, US Jian Liang - San Diego CA, US Avinash Seetharamaiah - San Diego CA, US
International Classification:
G06T 1/20 G06F 9/50 G06F 9/48
Abstract:
Methods, systems, and devices for dependency detection of a graphical processor unit (GPU) workload at a device are described. The method relates to generating a resource packet for a first GPU workload of a set of GPU workloads, the resource packet including a list of resources, identifying a first resource from the list of resources, retrieving a GPU address from a first memory location associated with the first resource, determining whether a dependency of the first resource exists between the first GPU workload and a second GPU workload from the set of GPU workloads based on the retrieving of the GPU address, and processing, when the dependency exists, the first resource after waiting for a duration to lapse.