Growing community of inventors

Pune, India

Dipankar Das

Average Co-Inventor Count = 3.56

ph-index = 5

The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.

Forward Citations = 80

Dipankar DasNaveen K Mellempudi (26 patents)Dipankar DasSrinivas Sridharan (17 patents)Dipankar DasDheevatsa Mudigere (17 patents)Dipankar DasKarthikeyan Vaidyanathan (10 patents)Dipankar DasSasikanth Avancha (8 patents)Dipankar DasAbhisek Kundu (7 patents)Dipankar DasVarghese George (6 patents)Dipankar DasSubramaniam M Maiyuran (5 patents)Dipankar DasAlexander F Heinecke (5 patents)Dipankar DasDhiraj D Kalamkar (5 patents)Dipankar DasJorge E Parra (4 patents)Dipankar DasChandra S Gurram (4 patents)Dipankar DasAshutosh Garg (4 patents)Dipankar DasArun Kumar (4 patents)Dipankar DasMrinmay Dutta (4 patents)Dipankar DasJesus Corbal (3 patents)Dipankar DasSupratim Pal (3 patents)Dipankar DasMikhail Smelyanskiy (3 patents)Dipankar DasRoger Gramunt (3 patents)Dipankar DasChunhui Mei (3 patents)Dipankar DasSudarshan Srinivasan (3 patents)Dipankar DasDharma Teja Vooturi (3 patents)Dipankar DasRobert Valentine (2 patents)Dipankar DasGuei-Yuan Lueh (2 patents)Dipankar DasChandrasekaran Sakthivel (2 patents)Dipankar DasWei-Yu Chen (2 patents)Dipankar DasAnand Raghunathan (2 patents)Dipankar DasSwagath Venkataramani (2 patents)Dipankar DasYan Li (2 patents)Dipankar DasShubra Marwaha (2 patents)Dipankar DasSupratim Pal (2 patents)Dipankar DasWei Xiong (2 patents)Dipankar DasDurgesh Borkar (2 patents)Dipankar DasAshish Ranjan (2 patents)Dipankar DasIshwar Bhati (2 patents)Dipankar DasJunjie Gu (2 patents)Dipankar DasMikhail E Smorkalov (2 patents)Dipankar DasYongsheng Liu (2 patents)Dipankar DasPurnendu Sinha (2 patents)Dipankar DasSubarno Banerjee (2 patents)Dipankar DasBharat Kaul (2 patents)Dipankar DasMartin Langhammer (1 patent)Dipankar DasMark Jay Charney (1 patent)Dipankar DasHong Jiang (1 patent)Dipankar DasGregg William Baeckler (1 patent)Dipankar DasMike MacPherson (1 patent)Dipankar DasFangwen Fu (1 patent)Dipankar DasMark Charney (1 patent)Dipankar DasSabareesh Ganapathy (1 patent)Dipankar DasDuncan Moss (1 patent)Dipankar DasPartha Pratim Chakrabarti (1 patent)Dipankar DasKristopher Wong (1 patent)Dipankar DasSeetharaman Rajappan (1 patent)Dipankar DasVinod Kumar Agrawal (1 patent)Dipankar DasDipankar Das (48 patents)Naveen K MellempudiNaveen K Mellempudi (36 patents)Srinivas SridharanSrinivas Sridharan (22 patents)Dheevatsa MudigereDheevatsa Mudigere (20 patents)Karthikeyan VaidyanathanKarthikeyan Vaidyanathan (12 patents)Sasikanth AvanchaSasikanth Avancha (11 patents)Abhisek KunduAbhisek Kundu (7 patents)Varghese GeorgeVarghese George (142 patents)Subramaniam M MaiyuranSubramaniam M Maiyuran (258 patents)Alexander F HeineckeAlexander F Heinecke (108 patents)Dhiraj D KalamkarDhiraj D Kalamkar (12 patents)Jorge E ParraJorge E Parra (36 patents)Chandra S GurramChandra S Gurram (35 patents)Ashutosh GargAshutosh Garg (29 patents)Arun KumarArun Kumar (16 patents)Mrinmay DuttaMrinmay Dutta (5 patents)Jesus CorbalJesus Corbal (155 patents)Supratim PalSupratim Pal (35 patents)Mikhail SmelyanskiyMikhail Smelyanskiy (33 patents)Roger GramuntRoger Gramunt (19 patents)Chunhui MeiChunhui Mei (13 patents)Sudarshan SrinivasanSudarshan Srinivasan (4 patents)Dharma Teja VooturiDharma Teja Vooturi (3 patents)Robert ValentineRobert Valentine (367 patents)Guei-Yuan LuehGuei-Yuan Lueh (123 patents)Chandrasekaran SakthivelChandrasekaran Sakthivel (51 patents)Wei-Yu ChenWei-Yu Chen (36 patents)Anand RaghunathanAnand Raghunathan (35 patents)Swagath VenkataramaniSwagath Venkataramani (30 patents)Yan LiYan Li (21 patents)Shubra MarwahaShubra Marwaha (15 patents)Supratim PalSupratim Pal (13 patents)Wei XiongWei Xiong (10 patents)Durgesh BorkarDurgesh Borkar (6 patents)Ashish RanjanAshish Ranjan (6 patents)Ishwar BhatiIshwar Bhati (5 patents)Junjie GuJunjie Gu (5 patents)Mikhail E SmorkalovMikhail E Smorkalov (3 patents)Yongsheng LiuYongsheng Liu (3 patents)Purnendu SinhaPurnendu Sinha (3 patents)Subarno BanerjeeSubarno Banerjee (2 patents)Bharat KaulBharat Kaul (2 patents)Martin LanghammerMartin Langhammer (262 patents)Mark Jay CharneyMark Jay Charney (220 patents)Hong JiangHong Jiang (111 patents)Gregg William BaecklerGregg William Baeckler (94 patents)Mike MacPhersonMike MacPherson (49 patents)Fangwen FuFangwen Fu (27 patents)Mark CharneyMark Charney (4 patents)Sabareesh GanapathySabareesh Ganapathy (3 patents)Duncan MossDuncan Moss (3 patents)Partha Pratim ChakrabartiPartha Pratim Chakrabarti (2 patents)Kristopher WongKristopher Wong (1 patent)Seetharaman RajappanSeetharaman Rajappan (1 patent)Vinod Kumar AgrawalVinod Kumar Agrawal (1 patent)
..
Inventor’s number of patents
..
Strength of working relationships

Company Filing History:

1. Intel Corporation (43 from 54,155 patents)

2. Gm Global Technology Operations LLC (4 from 30,669 patents)

3. Indian Institute of Technology Kharagpur (1 from 19 patents)

4. Gm Globla Technology Operations LLC (1 from 1 patent)


48 patents:

1. 12412232 - Dynamic precision management for integer deep learning primitives

2. 12405787 - Utilizing structured sparsity in systolic arrays

3. 12399685 - Systolic array having support for output sparsity

4. 12387287 - Abstraction layers for scalable distributed machine learning

5. 12354001 - Hardware implemented point to point communication primitives for machine learning

6. 12314727 - Optimized compute hardware for machine learning operations

7. 12288062 - Instructions for fused multiply-add operations with variable precision input operands

8. 12211117 - Data parallelism and halo exchange for distributed machine learning

9. 12198055 - Incremental precision networks using residual inference and fine-grain quantization

10. 12106210 - Scaling half-precision floating point tensors for training deep neural networks

11. 12033237 - Dynamic precision management for integer deep learning primitives

12. 11977885 - Utilizing structured sparsity in systolic arrays

13. 11900107 - Instructions for fused multiply-add operations with variable precision input operands

14. 11893490 - Incremental precision networks using residual inference and fine-grain quantization

15. 11823034 - Scaling half-precision floating point tensors for training deep neural networks

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