Hai Li Phones & Addresses
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Columbia, MO
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West Palm Beach, FL
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New York, NY
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Abilene, TX
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Beloit, WI
Work
Company:
Hai dong li
Address:
1746 West 7 Street 2Fl, Brooklyn, NY 11223
Phones:
(718) 375-8706
Position:
Executive officer
Industries:
Elementary and Secondary Schools
Business Records
Name / Title
Company / Classification
Phones & Addresses
Executive Officer
Hai Dong Li
Elementary and Secondary Schools
Elementary and Secondary Schools
1746 West 7 Street 2Fl, Brooklyn, NY 11223
BELLA BEE (USA) HOLDING LIMITED
HAO CHA LLC
EXCELLENT LAUNDRY SERVICE INC
Power Laundry
Power Laundry
350 E 67 #1FL, New York, NY 10065
69-30 172 St, Fresh Meadows, NY 11365
350 E 67 St 1Flr, New York, NY 10065
(212) 717-1365
69-30 172 St, Fresh Meadows, NY 11365
350 E 67 St 1Flr, New York, NY 10065
(212) 717-1365
HOI KEE TRADING CO. INC
325 10 Eyek St, Brooklyn, NY 11206
325 10 Eyck St, Brooklyn, NY 11206
325 10 Eyck St, Brooklyn, NY 11206
EASTERN U.S.A., INC
99-34 67 Rd #3B, Forest Hills, NY 11375
99-34 37 Rd #3B, Forest Hills, NY 11375
99-34 37 Rd #3B, Forest Hills, NY 11375
Executive Officer
Hai Dong Li
Elementary and Secondary Schools
Elementary and Secondary Schools
1746 West 7 Street 2Fl, Brooklyn, NY 11223
Publications
Us Patents
Gpu-Based Third-Order Low Rank Tensor Calculation Method And Apparatus
View pageUS Patent:
20200293595, Sep 17, 2020
Filed:
Dec 16, 2019
Appl. No.:
16/715071
Inventors:
- New York NY, US
Hai Li - New York NY, US
Xiaoyang Liu - New York NY, US
Hai Li - New York NY, US
Xiaoyang Liu - New York NY, US
International Classification:
G06F 17/14
G06T 1/20
G06F 12/06
G06F 17/16
G06T 1/20
G06F 12/06
G06F 17/16
Abstract:
The present disclosure provides a CPU-based third-order low-rank tensor calculation method, Operation steps of the method include: transmitting, by a CPU, s third-order real value tensor input data DATA to a CPU; performing, by the GPU, Fourier transforms on the DATA to obtain third-order complex value tensor data DATA performing, by the CPU, matrix operations on the DATA to obtain third-order complex value tensor data DATA performing, by the CPU, inverse Fourier transforms on the DATA to obtain third-order real value tensor output to data DATA and transmitting, by the GPU, the DATA to the CPU. In the present disclosure, in the third-order low-rank tensor calculation, a computational task with high concurrent processes is accelerated by using the CPU to improve computational efficiency. Compared with conventional CPU-based third-order low-rank tensor calculation, computational efficiency is significantly improved, is and same calculation can be completed by using less time.