Shin-haeng Kang
Shin-haeng Kang
Principal Engineer, Samsung Electronics.
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Zitiert von
Zitiert von
Scenario-based design flow for mapping streaming applications onto on-chip many-core systems
L Schor, I Bacivarov, D Rai, H Yang, SH Kang, L Thiele
Proceedings of the 2012 international conference on Compilers, architectures …, 2012
25.4 a 20nm 6gb function-in-memory dram, based on hbm2 with a 1.2 tflops programmable computing unit using bank-level parallelism, for machine learning applications
YC Kwon, SH Lee, J Lee, SH Kwon, JM Ryu, JP Son, O Seongil, HS Yu, ...
2021 IEEE International Solid-State Circuits Conference (ISSCC) 64, 350-352, 2021
Multi-objective mapping optimization via problem decomposition for many-core systems
SH Kang, H Yang, L Schor, I Bacivarov, S Ha, L Thiele
2012 IEEE 10th Symposium on Embedded Systems for Real-time Multimedia, 28-37, 2012
Static mapping of mixed-critical applications for fault-tolerant MPSoCs
S Kang, H Yang, S Kim, I Bacivarov, S Ha, L Thiele
Proceedings of the 51st annual design automation conference, 1-6, 2014
Dynamic behavior specification and dynamic mapping for real-time embedded systems: Hopes approach
H Jung, C Lee, SH Kang, S Kim, H Oh, S Ha
ACM Transactions on Embedded Computing Systems (TECS) 13 (4s), 1-26, 2014
Hardware architecture and software stack for PIM based on commercial DRAM technology: Industrial product
S Lee, S Kang, J Lee, H Kim, E Lee, S Seo, H Yoon, S Lee, K Lim, H Shin, ...
2021 ACM/IEEE 48th Annual International Symposium on Computer Architecture …, 2021
Reliability-aware mapping optimization of multi-core systems with mixed-criticality
SH Kang, H Yang, S Kim, I Bacivarov, S Ha, L Thiele
2014 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-4, 2014
TQSIM: A fast cycle-approximate processor simulator based on QEMU
S Kang, D Yoo, S Ha
Journal of Systems Architecture 66, 33-47, 2016
An ILP-based worst-case performance analysis technique for distributed real-time embedded systems
J Kim, H Oh, H Ha, SH Kang, J Choi, S Ha
2012 IEEE 33rd Real-Time Systems Symposium, 363-372, 2012
Near-memory processing in action: Accelerating personalized recommendation with AxDIMM
L Ke, X Zhang, J So, JG Lee, SH Kang, S Lee, S Han, YG Cho, JH Kim, ...
IEEE Micro 42 (1), 116-127, 2021
Real-time co-scheduling of multiple dataflow graphs on multi-processor systems
S Kang, D Kang, H Yang, S Ha
Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016
Optimal checkpoint selection with dual-modular redundancy hardening
SH Kang, H Park, S Kim, H Oh, S Ha
IEEE Transactions on Computers 64 (7), 2036-2048, 2014
Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond
JH Kim, S Kang, S Lee, H Kim, W Song, Y Ro, S Lee, D Wang, H Shin, ...
2021 IEEE Hot Chips 33 Symposium (HCS), 1-26, 2021
25.4 A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2 TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications. In 2021 …
YC Kwon, SH Lee, J Lee, SH Kwon, JM Ryu, JP Son, O Seongil, HS Yu, ...
IEEE, 2021
Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology: Industrial Product. In 2021 ACM/IEEE 48th Annual International Symposium on Computer …
S Lee, S Kang, J Lee, H Kim, E Lee, S Seo, H Yoon, S Lee, K Lim, H Shin, ...
IEEE, 43ś56. https://doi. org/10.1109/ISCA52012, 2021
Fast parallel simulation of a manycore architecture with a flit-level on-chip network model
S Kang, J Kang, S Ha
Proceedings of the 18th International Conference on Embedded Computer …, 2018
An FPGA-based RNN-T Inference Accelerator with PIM-HBM
S Kang, S Lee, B Kim, H Kim, K Sohn, NS Kim, E Lee
Proceedings of the 2022 ACM/SIGDA International Symposium on Field …, 2022
Memory device with internal processing interface
H Yu, K Shinhaeng, Y Ro
US Patent App. 17/591,928, 2022
An Architecture of Sparse Length Sum Accelerator in AxDIMM
S Kang, B Kim, S Lee, K Sohn
2022 IEEE 4th International Conference on Artificial Intelligence Circuits …, 2022
Memory device for performing in-memory processing
Y Ro, K Shinhaeng, O Seongil, S Seo
US Patent App. 17/314,476, 2022
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