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ORCIDNam Sung Kim
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- affiliation: University of Illinois, Urbana-Champaign, IL, USA
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2020 – today
- 2023
[j55]Ipoom Jeong
, Jiaqi Lou, Yongseok Son, Yongjoo Park, Yifan Yuan, Nam Sung Kim:
LADIO: Leakage-Aware Direct I/O for I/O-Intensive Workloads. IEEE Comput. Archit. Lett. 22(2): 77-80 (2023)- [j54]Hwayong Nam, Seungmin Baek, Minbok Wi, Michael Jaemin Kim, Jaehyun Park, Chihun Song, Nam Sung Kim, Jung Ho Ahn:
X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands. IEEE Comput. Archit. Lett. 22(2): 89-92 (2023) - [j53]John Kim, Nam Sung Kim:
Special Issue on Emerging System Interconnects. IEEE Micro 43(2): 6-8 (2023) - [j52]Byoungchan Oh, Nilmini Abeyratne, Nam Sung Kim, Jeongseob Ahn, Ronald G. Dreslinski, Trevor N. Mudge:
Rethinking DRAM's Page Mode With STT-MRAM. IEEE Trans. Computers 72(5): 1503-1517 (2023) - [c156]Xinhao Kong, Jiaqi Lou, Wei Bai, Nam Sung Kim, Danyang Zhuo:
Towards a Manageable Intra-Host Network. HotOS 2023: 206-213 - [c155]Minbok Wi, Jaehyun Park, Seoyoung Ko, Michael Jaemin Kim, Nam Sung Kim, Eojin Lee, Jung Ho Ahn:
SHADOW: Preventing Row Hammer in DRAM with Intra-Subarray Row Shuffling. HPCA 2023: 333-346 - [c154]Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim:
Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications. HPCA 2023: 499-515 - [c153]Dong Kai Wang, Jiaqi Lou, Naiyin Jin, Edwin Mascarenhas, Rohan Mahapatra, Sean Kinzer, Soroush Ghodrati, Amir Yazdanbakhsh, Hadi Esmaeilzadeh, Nam Sung Kim:
MESA: Microarchitecture Extensions for Spatial Architecture Generation. ISCA 2023: 49:1-49:14 - [c152]Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim:
Analyzing Energy Efficiency of a Server with a SmartNIC under SLO Constraints. ISPASS 2023: 334-336 - [c151]Houxiang Ji, Mark Mansi, Yan Sun, Yifan Yuan, Jinghan Huang, Reese Kuper, Michael M. Swift, Nam Sung Kim:
STYX: Exploiting SmartNIC Capability to Reduce Datacenter Memory Tax. USENIX Annual Technical Conference 2023: 619-633 - [i27]Hyoungwook Nam, Raghavendra Pradyumna Pothukuchi, Bo Li, Nam Sung Kim, Josep Torrellas:
Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation. CoRR abs/2302.01474 (2023) - [i26]Ahmed H. M. O. Abulila, Izzat El Hajj, Myoungsoo Jung, Nam Sung Kim:
Asynchronous Persistence with ASAP. CoRR abs/2302.13394 (2023) - [i25]Yan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper, Ipoom Jeong, Ren Wang, Nam Sung Kim:
Demystifying CXL Memory with Genuine CXL-Ready Systems and Devices. CoRR abs/2303.15375 (2023) - [i24]Reese Kuper, Ipoom Jeong, Yifan Yuan, Jiayu Hu, Ren Wang, Narayan Ranganathan, Nam Sung Kim:
A Quantitative Analysis and Guideline of Data Streaming Accelerator in Intel 4th Gen Xeon Scalable Processors. CoRR abs/2305.02480 (2023) - [i23]Hwayong Nam, Seungmin Baek, Minbok Wi, Michael Jaemin Kim, Jaehyun Park, Chihun Song, Nam Sung Kim, Jung Ho Ahn:
X-ray: Discovering DRAM Internal Structure and Error Characteristics by Issuing Memory Commands. CoRR abs/2306.03366 (2023) - 2022
- [j51]Liu Ke, Xuan Zhang, Jinin So, Jong-Geon Lee, Shinhaeng Kang, Sukhan Lee, Songyi Han, YeonGon Cho, Jin Hyun Kim, Yongsuk Kwon, KyungSoo Kim, Jin Jung, IlKwon Yun, Sung Joo Park, Hyunsun Park, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim, Hsien-Hsin S. Lee:
Near-Memory Processing in Action: Accelerating Personalized Recommendation With AxDIMM. IEEE Micro 42(1): 116-127 (2022) - [j50]Jin Hyun Kim, Shinhaeng Kang, Sukhan Lee, Hyeonsu Kim, Yuhwan Ro, Seungwon Lee, David Wang, Jihyun Choi, Jinin So, YeonGon Cho, Joon-Ho Song, Jeonghyeon Cho, Kyomin Sohn, Nam Sung Kim:
Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer. IEEE Micro 42(3): 20-30 (2022) - [j49]Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim:
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. Proc. VLDB Endow. 15(11): 2747-2760 (2022) - [j48]Zhendong Bei, Nam Sung Kim, Kai Hwang, Zhibin Yu:
OSC: An Online Self-Configuring Big Data Framework for Optimization of QoS. IEEE Trans. Computers 71(4): 809-823 (2022) - [j47]Ashutosh Dhar, Edward Richter, Mang Yu, Wei Zuo, Xiaohao Wang, Nam Sung Kim, Deming Chen:
DML: Dynamic Partial Reconfiguration With Scalable Task Scheduling for Multi-Applications on FPGAs. IEEE Trans. Computers 71(10): 2577-2591 (2022) - [c150]Shinhaeng Kang, Sukhan Lee, Byeongho Kim, Hweesoo Kim, Kyomin Sohn, Nam Sung Kim, Eojin Lee:
An FPGA-based RNN-T Inference Accelerator with PIM-HBM. FPGA 2022: 146-152 - [c149]Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin:
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. ICLR 2022 - [c148]Ahmed H. M. O. Abulila, Izzat El Hajj, Myoungsoo Jung, Nam Sung Kim:
ASAP: architecture support for asynchronous persistence. ISCA 2022: 306-319 - [c147]Mohammad Alian, Siddharth Agarwal, Jongmin Shin, Neel Patel, Yifan Yuan, Daehoon Kim, Ren Wang, Nam Sung Kim:
IDIO: Network-Driven, Inbound Network Data Orchestration on Server Processors. MICRO 2022: 480-493 - [c146]Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin:
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. MLSys 2022 - [c145]Yifan Yuan, Omar Alama, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Amedeo Sapio, Marco Canini, Nam Sung Kim:
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. NSDI 2022: 683-700 - [i22]Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim:
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. CoRR abs/2202.01306 (2022) - [i21]Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan R. K. Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim:
ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications. CoRR abs/2203.08906 (2022) - [i20]Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin:
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. CoRR abs/2203.10428 (2022) - [i19]Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin:
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. CoRR abs/2203.10983 (2022) - [i18]Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava:
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR abs/2210.08974 (2022) - 2021
- [j46]Mohammad Alian, Jongmin Shin, Ki-Dong Kang, Ren Wang, Alexandros Daglis, Daehoon Kim, Nam Sung Kim:
IDIO: Orchestrating Inbound Network Data on Server Processors. IEEE Comput. Archit. Lett. 20(1): 30-33 (2021) - [j45]Ki Chul Chun, Yong-Ki Kim, Yesin Ryu, Jaewon Park, Chi Sung Oh, Young-Yong Byun, So-Young Kim, Dong-Hak Shin, Jun Gyu Lee, Byung-Kyu Ho, Min-Sang Park, Seong-Jin Cho, Seunghan Woo, Byoung-Mo Moon, Beomyong Kil, Sungoh Ahn, Jae Hoon Lee, Sooyoung Kim, Seouk-Kyu Choi, Jae-Seung Jeong, Sung-Gi Ahn, Jihye Kim, Jun Jin Kong, Kyomin Sohn, Nam Sung Kim, Jung-Bae Lee:
A 16-GB 640-GB/s HBM2E DRAM With a Data-Bus Window Extension Technique and a Synergetic On-Die ECC Scheme. IEEE J. Solid State Circuits 56(1): 199-211 (2021) - [j44]Chang-Kyo Lee, Hyung-Joon Chi, Jin-Seok Heo, Junghwan Park, Jin-Hun Jang, Dongkeon Lee, Jaehoon Jung, Dong-Hun Lee, Dae-Hyun Kim, Kihan Kim, Sang-Yun Kim, Dukha Park, Youngil Lim, Geuntae Park, Seungjun Lee, Seungki Hong, Dae-Hyun Kwon, Isak Hwang, Byongwook Na, Kyungryun Kim, Seouk-Kyu Choi, Hye-In Choi, Hangi-Jung, Wonil Bae, Jeong-Don Ihm, Seung-Jun Bae, Nam Sung Kim, Jung-Bae Lee:
An 8.5-Gb/s/Pin 12-Gb LPDDR5 SDRAM With a Hybrid-Bank Architecture, Low Power, and Speed-Boosting Techniques. IEEE J. Solid State Circuits 56(1): 212-224 (2021) - [j43]Bingchao Li, Jizeng Wei, Nam Sung Kim:
Virtual-Cache: A cache-line borrowing technique for efficient GPU cache architectures. Microprocess. Microsystems 85: 104301 (2021) - [j42]Dimitrios Skarlatos, Umur Darbaz, Bhargava Gopireddy, Nam Sung Kim, Josep Torrellas:
BabelFish: Fusing Address Translations for Containers. IEEE Micro 41(3): 57-62 (2021) - [c144]Dong Kai Wang, Nam Sung Kim:
DiAG: a dataflow-inspired architecture for general-purpose processors. ASPLOS 2021: 93-106 - [c143]Jin Hyun Kim, Shinhaeng Kang, Sukhan Lee, Hyeonsu Kim, Woongjae Song, Yuhwan Ro, Seungwon Lee, David Wang, Hyunsung Shin, BengSeng Phuah, Jihyun Choi, Jinin So, YeonGon Cho, Joon-Ho Song, Jangseok Choi, Jeonghyeon Cho, Kyomin Sohn, Young-Soo Sohn, Kwang-Il Park, Nam Sung Kim:
Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond. HCS 2021: 1-26 - [c142]Youjie Li, Amar Phanishayee, Derek Murray, Nam Sung Kim:
Doing more with less: training large DNN models on commodity servers for the masses. HotOS 2021: 119-127 - [c141]Yifan Yuan, Yipeng Wang, Ren Wang, Rangeen Basu Roy Chowdhury, Charlie Tai, Nam Sung Kim:
QEI: Query Acceleration Can be Generic and Efficient in the Cloud. HPCA 2021: 385-398 - [c140]Suk Han Lee, Shinhaeng Kang, Jaehoon Lee, Hyeonsu Kim, Eojin Lee, Seungwoo Seo, Hosang Yoon, Seungwon Lee, Kyounghwan Lim, Hyunsung Shin, Jinhyun Kim, Seongil O, Anand Iyer, David Wang, Kyomin Sohn, Nam Sung Kim:
Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product. ISCA 2021: 43-56 - [c139]Yifan Yuan, Mohammad Alian, Yipeng Wang, Ren Wang, Ilia Kurakin, Charlie Tai, Nam Sung Kim:
Don't Forget the I/O When Allocating Your LLC. ISCA 2021: 112-125 - [c138]Jie Zhang, Miryeong Kwon, Donghyun Gouk, Sungjoon Koh, Nam Sung Kim, Mahmut Taylan Kandemir, Myoungsoo Jung:
Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution. ISCA 2021: 762-775 - [c137]Yong-Hun Kim, Hyung-Jin Kim, Jaemin Choi, Min-Su Ahn, Dongkeon Lee, Seung-Hyun Cho, Dong-Yeon Park, Young-Jae Park, Min-Soo Jang, Yong-Jun Kim, Jinyong Choi, Sung-Woo Yoon, Jae-Woo Jung, Jae-Koo Park, Jae-Woo Lee, Dae-Hyun Kwon, Hyung-Seok Cha, Si-Hyeong Cho, Seong-Hoon Kim, Jihwa You, Kyoung-Ho Kim, Dae-Hyun Kim, Byung-Cheol Kim, Young-Kwan Kim, Jun-Ho Kim, Seouk-Kyu Choi, Chanyoung Kim, Byongwook Na, Hye-In Choi, Reum Oh, Jeong-Don Ihm, Seung-Jun Bae, Nam Sung Kim, Jung-Bae Lee:
25.2 A 16Gb Sub-1V 7.14Gb/s/pin LPDDR5 SDRAM Applying a Mosaic Architecture with a Short-Feedback 1-Tap DFE, an FSS Bus with Low-Level Swing and an Adaptively Controlled Body Biasing in a 3rd-Generation 10nm DRAM. ISSCC 2021: 346-348 - [c136]Young-Cheon Kwon, Suk Han Lee, Jaehoon Lee, Sang-Hyuk Kwon, Je-Min Ryu, Jong-Pil Son, Seongil O, Hak-soo Yu, Haesuk Lee, Soo Young Kim, Youngmin Cho, Jin Guk Kim, Jongyoon Choi, Hyunsung Shin, Jin Kim, BengSeng Phuah, HyoungMin Kim, Myeong Jun Song, Ahn Choi, Daeho Kim, Sooyoung Kim, Eun-Bong Kim, David Wang, Shinhaeng Kang, Yuhwan Ro, Seungwoo Seo, Joon-Ho Song, Jaeyoun Youn, Kyomin Sohn, Nam Sung Kim:
25.4 A 20nm 6GB Function-In-Memory DRAM, Based on HBM2 with a 1.2TFLOPS Programmable Computing Unit Using Bank-Level Parallelism, for Machine Learning Applications. ISSCC 2021: 350-352 - [c135]Seunghak Lee, Ki-Dong Kang, Hwanjun Lee, Hyungwon Park, Young Hoon Son, Nam Sung Kim, Daehoon Kim:
GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down State. MICRO 2021: 131-142 - [c134]Ki-Dong Kang, Gyeongseo Park, Hyosang Kim, Mohammad Alian, Nam Sung Kim, Daehoon Kim:
NMAP: Power Management Based on Network Packet Processing Mode Transition for Latency-Critical Workloads. MICRO 2021: 143-154 - [i17]Jie Zhang, Miryeong Kwon, Donghyun Gouk, Sungjoon Koh, Nam Sung Kim, Mahmut Taylan Kandemir, Myoungsoo Jung:
Revamping Storage Class Memory With Hardware Automated Memory-Over-Storage Solution. CoRR abs/2106.14241 (2021) - [i16]Yifan Yuan, Omar Alama, Amedeo Sapio, Jiawei Fei, Jacob Nelson, Dan R. K. Ports, Marco Canini, Nam Sung Kim:
Unlocking the Power of Inline Floating-Point Operations on Programmable Switches. CoRR abs/2112.06095 (2021) - 2020
- [j41]Ki-Dong Kang, Gyeongseo Park, Nam Sung Kim, Daehoon Kim:
Network Packet Processing Mode-Aware Power Management for Data Center Servers. IEEE Comput. Archit. Lett. 19(1): 1-4 (2020) - [j40]Jie Zhang, Miryeong Kwon, Sanghyun Han, Nam Sung Kim, Mahmut T. Kandemir, Myoungsoo Jung:
FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack. IEEE Comput. Archit. Lett. 19(2): 92-96 (2020) - [j39]Yongseok Son, Moonsub Kim, Sunggon Kim, Heon Young Yeom, Nam Sung Kim, Hyuck Han:
Design and Implementation of SSD-Assisted Backup and Recovery for Database Systems. IEEE Trans. Knowl. Data Eng. 32(2): 260-274 (2020) - [j38]Sungjoon Koh, Jie Zhang, Miryeong Kwon, Jungyeon Yoon, David Donofrio, Nam Sung Kim, Myoungsoo Jung:
Errata to "Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters". IEEE Trans. Parallel Distributed Syst. 31(6): 1460 (2020) - [c133]Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh:
Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic. PACT 2020: 399-411 - [c132]Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh:
Bit-Parallel Vector Composability for Neural Acceleration. DAC 2020: 1-6 - [c131]Dimitrios Skarlatos, Umur Darbaz, Bhargava Gopireddy, Nam Sung Kim, Josep Torrellas:
BabelFish: Fusing Address Translations for Containers. ISCA 2020: 501-514 - [c130]Mohammad Alian, Yifan Yuan, Jie Zhang, Ren Wang, Myoungsoo Jung, Nam Sung Kim:
Data Direct I/O Characterization for Future I/O System Exploration. ISPASS 2020: 160-169 - [c129]Chi-Sung Oh, Ki Chul Chun, Young-Yong Byun, Yong-Ki Kim, So-Young Kim, Yesin Ryu, Jaewon Park, Sinho Kim, Sang-uhn Cha, Dong-Hak Shin, Jungyu Lee, Jong-Pil Son, Byung-Kyu Ho, Seong-Jin Cho, Beomyong Kil, Sungoh Ahn, Baekmin Lim, Yong-Sik Park, Kijun Lee, Myung-Kyu Lee, Seungduk Baek, Junyong Noh, Jae-Wook Lee, Seungseob Lee, Sooyoung Kim, Bo-Tak Lim, Seouk-Kyu Choi, Jin-Guk Kim, Hye-In Choi, Hyuk-Jun Kwon, Jun Jin Kong, Kyomin Sohn, Nam Sung Kim, Kwang-Il Park, Jung-Bae Lee:
22.1 A 1.1V 16GB 640GB/s HBM2E DRAM with a Data-Bus Window-Extension Technique and a Synergetic On-Die ECC Scheme. ISSCC 2020: 330-332 - [c128]Ashutosh Dhar, Xiaohao Wang, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei W. Hwu, Nam Sung Kim, Deming Chen:
FReaC Cache: Folded-logic Reconfigurable Computing in the Last Level Cache. MICRO 2020: 102-117 - [c127]Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh:
Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks. MICRO 2020: 681-697 - [c126]Ashutosh Dhar, Mang Yu, Wei Zuo, Xiaohao Wang, Nam Sung Kim, Deming Chen:
Leveraging Dynamic Partial Reconfiguration with Scalable ILP Based Task Scheduling. VLSID 2020: 201-206 - [i15]Soroush Ghodrati, Hardik Sharma, Cliff Young, Nam Sung Kim, Hadi Esmaeilzadeh:
Bit-Parallel Vector Composability for Neural Acceleration. CoRR abs/2004.05333 (2020) - [i14]Jie Zhang, Miryeong Kwon, Sanghyun Han, Nam Sung Kim, Mahmut T. Kandemir, Myoungsoo Jung:
FastDrain: Removing Page Victimization Overheads in NVMe Storage Stack. CoRR abs/2006.08966 (2020) - [i13]Yifan Yuan, Mohammad Alian, Yipeng Wang, Ilia Kurakin, Ren Wang, Tsung-Yuan Charlie Tai, Nam Sung Kim:
IOCA: High-Speed I/O-Aware LLC Management for Network-Centric Multi-Tenant Platform. CoRR abs/2007.04552 (2020)
2010 – 2019
- 2019
- [j37]Seunghak Lee, Nam Sung Kim, Daehoon Kim:
Exploiting OS-Level Memory Offlining for DRAM Power Management. IEEE Comput. Archit. Lett. 18(2): 141-144 (2019) - [j36]Mingu Kang, Prakalp Srivastava, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag:
An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms. IEEE Micro 39(5): 64-72 (2019) - [j35]Bingchao Li, Jizeng Wei, Jizhou Sun, Murali Annavaram, Nam Sung Kim:
An Efficient GPU Cache Architecture for Applications with Irregular Memory Access Patterns. ACM Trans. Archit. Code Optim. 16(3): 20:1-20:24 (2019) - [j34]Sungjoon Koh, Jie Zhang, Miryeong Kwon, Jungyeon Yoon, David Donofrio, Nam Sung Kim, Myoungsoo Jung:
Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters. IEEE Trans. Parallel Distributed Syst. 30(6): 1312-1330 (2019) - [c125]Ahmed H. M. O. Abulila, Vikram Sharma Mailthody, Zaid Qureshi, Jian Huang, Nam Sung Kim, Jinjun Xiong, Wen-Mei W. Hwu:
FlatFlash: Exploiting the Byte-Accessibility of SSDs within a Unified Memory-Storage Hierarchy. ASPLOS 2019: 971-985 - [c124]Nam Sung Kim, Choungki Song, Woo Young Cho, Jian Huang, Myoungsoo Jung:
LL-PCM: Low-Latency Phase Change Memory Architecture. DAC 2019: 14 - [c123]Nam Sung Kim, Pankaj Mehra:
Practical Near-Data Processing to Evolve Memory and Storage Devices into Mainstream Heterogeneous Computing Systems. DAC 2019: 22 - [c122]Zhenhong Liu, Amir Yazdanbakhsh, Dong Kai Wang, Hadi Esmaeilzadeh, Nam Sung Kim:
AxMemo: hardware-compiler co-design for approximate code memoization. ISCA 2019: 685-697 - [c121]Dong Kai Wang, Nam Sung Kim:
A2M: Approximate Algebraic Memory Using Polynomials Rings. ISLPED 2019: 1-6 - [c120]Ashutosh Dhar, Sitao Huang, Jinjun Xiong, Damir A. Jamsek, Bruno Mesnet, Jian Huang, Nam Sung Kim, Wen-Mei W. Hwu, Deming Chen:
Near-Memory and In-Storage FPGA Acceleration for Emerging Cognitive Computing Workloads. ISVLSI 2019: 68-75 - [c119]Byoungchan Oh, Nilmini Abeyratne, Nam Sung Kim, Ronald G. Dreslinski, Trevor N. Mudge:
SMART: STT-MRAM architecture for smart activation and sensing. MEMSYS 2019: 316-330 - [c118]Mohammad Alian, Nam Sung Kim:
NetDIMM: Low-Latency Near-Memory Network Interface Architecture. MICRO 2019: 699-711 - [c117]Hyojun Son, Hanjoon Kim, Hao Wang, Nam Sung Kim, John Kim:
Ghost routers: energy-efficient asymmetric multicore processors with symmetric NoCs. NOCS 2019: 2:1-2:7 - [p1]Nam Sung Kim, Ulya R. Karpuzcu:
Approximate Ultra-Low Voltage Many-Core Processor Design. Approximate Circuits 2019: 371-382 - [i12]Sungjoon Koh, Jie Zhang, Miryeong Kwon, Jungyeon Yoon, David Donofrio, Nam Sung Kim, Myoungsoo Jung:
Exploring Fault-Tolerant Erasure Codes for Scalable All-Flash Array Clusters. CoRR abs/1906.08602 (2019) - [i11]Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh:
Mixed-Signal Charge-Domain Acceleration of Deep Neural networks through Interleaved Bit-Partitioned Arithmetic. CoRR abs/1906.11915 (2019) - 2018
- [j33]Sukhan Lee, Hyunyoon Cho, Young Hoon Son, Yuhwan Ro, Nam Sung Kim, Jung Ho Ahn:
Leveraging Power-Performance Relationship of Energy-Efficient Modern DRAM Devices. IEEE Access 6: 31387-31398 (2018) - [j32]Myoungsoo Jung, Jie Zhang, Ahmed H. M. O. Abulila, Miryeong Kwon, Narges Shahidi, John Shalf, Nam Sung Kim, Mahmut T. Kandemir:
SimpleSSD: Modeling Solid State Drives for Holistic System Simulation. IEEE Comput. Archit. Lett. 17(1): 37-41 (2018) - [j31]Seungwon Min, Mohammad Alian, Wen-Mei Hwu, Nam Sung Kim:
Semi-Coherent DMA: An Alternative I/O Coherency Management for Embedded Systems. IEEE Comput. Archit. Lett. 17(2): 221-224 (2018) - [j30]Zhenhong Liu, Amir Yazdanbakhsh, Taejoon Park, Hadi Esmaeilzadeh, Nam Sung Kim:
SiMul: An Algorithm-Driven Approximate Multiplier Design for Machine Learning. IEEE Micro 38(4): 50-59 (2018) - [j29]Li Jiang, Tianjian Li, Naifeng Jing, Nam Sung Kim, Minyi Guo, Xiaoyao Liang:
CNFET-Based High Throughput SIMD Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(7): 1331-1344 (2018) - [c116]Sukhan Lee, Kiwon Lee, Min Chul Sung, Mohammad Alian, Chankyung Kim, Wooyeong Cho, Reum Oh, Seongil O, Jung Ho Ahn, Nam Sung Kim:
3D-Xpath: high-density managed DRAM architecture with cost-effective alternative paths for memory transactions. PACT 2018: 22:1-22:12 - [c115]Amir Yazdanbakhsh, Choungki Song, Jacob Sacks, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh, Nam Sung Kim:
In-DRAM near-data approximate acceleration for GPUs. PACT 2018: 34:1-34:14 - [c114]Nam Sung Kim:
Practical Challenges in Supporting Function in Memory. A-SSCC 2018: 9-12 - [c113]Ki-Dong Kang, Mohammad Alian, Daehoon Kim, Jaehyuk Huh, Nam Sung Kim:
VIP: Virtual Performance-State for Efficient Power Management of Virtual Machines. SoCC 2018: 237-248 - [c112]Amir Yazdanbakhsh, Michael Brzozowski, Behnam Khaleghi, Soroush Ghodrati, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh:
FlexiGAN: An End-to-End Solution for FPGA Acceleration of Generative Adversarial Networks. FCCM 2018: 65-72 - [c111]Mohammad Alian, Krishna Parasuram Srinivasan, Nam Sung Kim:
Simulating PCI-Express Interconnect for Future System Exploration. IISWC 2018: 168-178 - [c110]Gunjae Koo, Hyeran Jeon, Zhenhong Liu, Nam Sung Kim, Murali Annavaram:
CTA-Aware Prefetching and Scheduling for GPU. IPDPS 2018: 137-148 - [c109]Jie Zhang, Shuwen Gao, Nam Sung Kim, Myoungsoo Jung:
CIAO: Cache Interference-Aware Throughput-Oriented Architecture and Scheduling for GPUs. IPDPS 2018: 149-159 - [c108]Prakalp Srivastava, Mingu Kang, Sujan K. Gonugondla, Sungmin Lim, Jungwook Choi, Vikram S. Adve, Nam Sung Kim, Naresh R. Shanbhag:
PROMISE: An End-to-End Design of a Programmable Mixed-Signal Accelerator for Machine-Learning Algorithms. ISCA 2018: 43-56 - [c107]Amir Yazdanbakhsh, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh:
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks. ISCA 2018: 650-661 - [c106]Zhenhong Liu, Daniel Wong, Nam Sung Kim:
Load-Triggered Warp Approximation on GPU. ISLPED 2018: 26:1-26:6 - [c105]Byoungchan Oh, Nam Sung Kim, Jeongseob Ahn, Bingchao Li, Ronald G. Dreslinski, Trevor N. Mudge:
A load balancing technique for memory channels. MEMSYS 2018: 55-66 - [c104]Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim:
A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. MICRO 2018: 175-188 - [c103]Donghyun Gouk, Miryeong Kwon, Jie Zhang, Sungjoon Koh, Wonil Choi, Nam Sung Kim, Mahmut T. Kandemir, Myoungsoo Jung:
Amber*: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources. MICRO 2018: 469-481 - [c102]Mohammad Alian, Seungwon Min, Hadi Asgharimoghaddam, Ashutosh Dhar, Dong Kai Wang, Thomas Roewer, Adam J. McPadden, Oliver O'Halloran, Deming Chen, Jinjun Xiong, Daehoon Kim, Wen-Mei W. Hwu, Nam Sung Kim:
Application-Transparent Near-Memory Processing Architecture with Memory Channel Network. MICRO 2018: 802-814 - [c101]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS 2018: 5129-5139 - [c100]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS 2018: 8056-8067 - [c99]Jie Zhang, Miryeong Kwon, Donghyun Gouk, Sungjoon Koh, Changlim Lee, Mohammad Alian, Myoungjun Chun, Mahmut Taylan Kandemir, Nam Sung Kim, Jihong Kim, Myoungsoo Jung:
FlashShare: Punching Through Server Storage Stack from Kernel to Firmware for Ultra-Low Latency SSDs. OSDI 2018: 477-492 - [i10]Jie Zhang, Shuwen Gao, Nam Sung Kim, Myoungsoo Jung:
CIAO: Cache Interference-Aware Throughput-Oriented Architecture and Scheduling for GPUs. CoRR abs/1805.07718 (2018) - [i9]Amir Yazdanbakhsh, Hajar Falahati, Philip J. Wolfe, Kambiz Samadi, Nam Sung Kim, Hadi Esmaeilzadeh:
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks. CoRR abs/1806.01107 (2018) - [i8]Donghyun Gouk, Miryeong Kwon, Jie Zhang, Sungjoon Koh, Wonil Choi, Nam Sung Kim, Mahmut T. Kandemir, Myoungsoo Jung:
Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources. CoRR abs/1811.01544 (2018) - [i7]Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr:
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR abs/1811.03617 (2018) - [i6]Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing:
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR abs/1811.03619 (2018) - 2017
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