The paper titled “ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack” is accepted to British Machine Vision Conference (BMVC). Congrats, Dahoon Park! This work is a collaborated research between DGIST and Hongik University (Prof. Kon-Woo Kwon).
The paper titled “AutoRelax: HW-SW Co-Optimization for Efficient SpGEMM Operations with Automated Relaxation in Deep Learning” is accepted to IEEE Transactions on Emerging Topics in Computing (TETC). Congrats, Sehun Park!
The paper titled “Deep Partitioned Training from Near-Storage Computing to DNN Accelerators” is accepted to IEEE Computer Architecture Letters (CAL). Congrats, Yongjoo Jang!
[2021.04.04] Our collaborated research paper with POSTECH titled “Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator” is accepted to IEEE TCAS-I. Congrats, Gunho Park! [2021.04.14] Our collaborated research paper with POSTECH titled “High-Throughput Near-Memory Processing on CNNs with 3D HBM-like Memory ” is accepted to ACM TODAES. Congrats, Naebeom Park!
The paper titled ” Adaptive Input-to-Neuron Interlink Development in Training of Spike-Based Liquid State Machines” is accepted to IEEE ISCAS’21 @ Daegu, South Korea. Congrats, Sangwoo Hwang!
[2020.11.18] Our collaborated research paper with POSTECH titled “Approximate LSTM Computing for Energy-Efficient Speech Recognition” is accepted to MDPI Electronics. [2020.09.30] Our collaborated research paper with CASLAB titled “Defending Against Flush+Reload Attack With DRAM Cache by Bypassing Shared SRAM Cache ” is accepted to IEEE Access.
Our research proposal on developing “AutoFit: platform-centric autotune of deep learning models” has been awarded the research grant from Samsung Research Funding & Incubation Center for Future Technology.
[2019.07.25] Our collaborated research paper with Prof. Sungjin Lee’s group (DGIST) titled “Towards scalable analytics with inference-enabled solid-state drives” is accepted to IEEE Computer Architecture Letters (CAL). Congrats to Minsub Kim! [2019.06.17] Our collaborated research paper with POSTECH titled “Balancing computation loads and optimizing input vector loading in LSTM accelerators” is accepted to IEEE Trans. … Read more[2019.07.25] Research achievements