Követés
Nilanjan Goswami, Ph.D.
Nilanjan Goswami, Ph.D.
Principal Graphics Architect, Qualcomm
E-mail megerősítve itt: qti.qualcomm.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Exploring GPGPU workloads: Characterization methodology, analysis and microarchitecture evaluation implications
N Goswami, R Shankar, M Joshi, T Li
IEEE International Symposium on Workload Characterization (IISWC'10), 1-10, 2010
1092010
Power-performance co-optimization of throughput core architecture using resistive memory
N Goswami, B Cao, T Li
2013 IEEE 19th International Symposium on High Performance Computer …, 2013
1032013
Analyzing soft-error vulnerability on GPGPU microarchitecture
J Tan, N Goswami, T Li, X Fu
2011 IEEE International Symposium on Workload Characterization (IISWC), 226-235, 2011
1002011
Software Transactional Memory for GPU Architectures
Y Xu, R Wang, N Goswami, T Li, D Qian
Computer Architecture Letters, 2013
762013
GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation
Z Yu, L Eeckhout, N Goswami, T Li, LK John, H Jin, C Xu
IEEE Transactions on Computers, 2014
292014
Chameleon: Adapting Throughput Server to Time-Varying Green Power Budget Using Online Learning
C Li, R Wang, N Goswami, X Li, T Li, D Qian
182013
Accelerating GPGPU architecture simulation
Z Yu, L Eeckhout, N Goswami, T Li, L John, H Jin, C Xu
Proceedings of the ACM SIGMETRICS/international conference on Measurement …, 2013
142013
Exploring Silicon Nanophotonics in Throughput Architecture
N Goswami, Z Li, R Shankar, T Li
IEEE Design & Test Magazine, 2014
72014
On Characterization of Performance and Energy Efficiency in Heterogeneous HPC Cloud Data Centers
A Qouneh, N Goswami, R Zhou, T Li
International Symposium on Modeling, Analysis and Simulation of Computer and …, 2014
62014
Integrating nanophotonics in gpu microarchitecture
N Goswami, Z Li, A Verma, R Shankar, T Li
Proceedings of the 21st international conference on Parallel architectures …, 2012
62012
Efficient redundant coverage discard mechanism to reduce pixel shader work in a tile-based graphics rendering pipeline
N Goswami, D Lentz, AH Krishnamurthy, DC Tannenbaum
US Patent 11,010,954, 2021
52021
iConn: A Communication Infrastructure for Heterogeneous Computing Architectures
Z Li, N Goswami, T Li
ACM Journal on Emerging Technologies in Computing Systems 11 (4), 2015
42015
An Empirical-cum-Statistical Approach to Power-Performance Characterization of Concurrent GPU Kernels
N Goswami, A Qouneh, C Li, T Li
arXiv preprint arXiv:2011.02368, 2020
12020
Hierarchically characterizing CUDA program behavior.
Z Yu, H Jin, N Goswami, T Li, LK John
IISWC, 76, 2011
12011
Low-power high throughput hardware decoder with random block access
N Goswami, S Pinto
US Patent 11,882,295, 2024
2024
Display peak power management for artificial reality systems
N Goswami, E Gorbatov, SJ Clohset, M Yee
US Patent 11,881,143, 2024
2024
Rasterization Optimization for Analytic Anti-Aliasing
N Goswami, CJ Goodman, S Kavilipati, K Durfee
US Patent App. 17/721,653, 2023
2023
Block-Based Random Access Capable Lossless Graphics Asset Compression
N Goswami, K Durfee, S Pinto
US Patent App. 17/721,700, 2023
2023
Hardware Encoder for Color Data in a 2D Rendering Pipeline
N Goswami, S Pinto
US Patent App. 17/721,660, 2023
2023
Destination Update for Blending Modes in a Graphics Pipeline
N Goswami, CJ Goodman, K Durfee, P Agarwal, SJ Clohset
US Patent App. 17/721,671, 2023
2023
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