A Tool for Detecting First Races in OpenMP Programs. - Mun-Hye Kang; Ok-Kyoon Ha; Sang-Woo Jun; Yong-Kee Jun (PaCT, 2009)

Visualizing Potential Deadlocks in Multithreaded Programs. - Byung-Chul Kim; Sang-Woo Jun; Dae-Joon Hwang; Yong-Kee Jun (PaCT, 2009)

ZIP-IO: Architecture for application-specific compression of Big Data. - Sang Woo Jun; Kermin Fleming; Michael Adler; Joel S. Emer (FPT, 2012)

Scalable multi-access flash store for big data analytics. - Sang Woo Jun; Ming Liu; Kermin Elliott Fleming; Arvind 001 (FPGA, 2014)

A transport-layer network for distributed FPGA platforms. - Sang Woo Jun; Ming Liu; Shuotao Xu; Arvind 001 (FPL, 2015)

BlueDBM: an appliance for big data analytics. - Sang Woo Jun; Ming Liu; Sungjin Lee 001; Jamey Hicks; John Ankcorn; Myron King; Shuotao Xu; Arvind 001 (ISCA, 2015)

Large-scale high-dimensional nearest neighbor search using flash memory with in-store processing. - Sang Woo Jun; Chanwoo Chung; Arvind 001 (ReConFig, 2015)

minFlash: A minimalistic clustered flash array. - Ming Liu; Sang Woo Jun; Sungjin Lee 001; Jamey Hicks; Arvind 001 (DATE, 2016)

Application-Managed Flash. - Sungjin Lee 001; Ming Liu; Sang Woo Jun; Shuotao Xu; Jihong Kim 001; Arvind 001 (FAST, 2016)

In-storage embedded accelerator for sparse pattern processing. - Sang Woo Jun; Huy T. Nguyen; Vijay Gadepally; Arvind 001 (HPEC, 2016)

BlueCache: A Scalable Distributed Flash-based Key-value Store. - Shuotao Xu; Sungjin Lee 001; Sang Woo Jun; Ming Liu; Jamey Hicks; Arvind 001 (Proc. VLDB Endow., 2016)

BlueDBM: Distributed Flash Storage for Big Data Analytics. - Sang Woo Jun; Ming Liu; Sungjin Lee 001; Jamey Hicks; John Ankcorn; Myron King; Shuotao Xu; Arvind 001 (ACM Trans. Comput. Syst., 2016)

Terabyte Sort on FPGA-Accelerated Flash Storage. - Sang Woo Jun; Shuotao Xu; Arvind 001 (FCCM, 2017)

BigSparse: High-performance external graph analytics. - Sang Woo Jun; Andy Wright; Sizhuo Zhang; Shuotao Xu; Arvind 001 (CoRR, 2017)

GraFBoost: Using Accelerated Flash Storage for External Graph Analytics. - Sang Woo Jun; Andy Wright; Sizhuo Zhang; Shuotao Xu; Arvind 001 (ISCA, 2018)

Big data analytics made affordable using hardware-accelerated flash storage. - Sang Woo Jun (2018)

Wire-Speed Multirate Accelerator for Aggregation Operations on Sorted Data. - Sang-Woo Jun; Arvind Arvind (FCCM, 2019)

ZFP-V: Hardware-Optimized Lossy Floating Point Compression. - Gongjin Sun; Sang-Woo Jun (FPT, 2019)

ColumnBurst: a near-storage accelerator for memory-efficient database join queries. - Gongjin Sun; Sang-Woo Jun (APSys, 2020)

FPGA-Accelerated Time Series Mining on Low-Power IoT Devices. - Seongyoung Kang; Jinyeong Moon; Sang-Woo Jun (ASAP, 2020)

Bandwidth Efficient Near-Storage Accelerator for High-Dimensional Similarity Search. - Gongjin Sun; Sang-Woo Jun (FPT, 2020)

BurstZ: a bandwidth-efficient scientific computing accelerator platform for large-scale data. - Gongjin Sun; Seongyoung Kang; Sang-Woo Jun (ICS, 2020)

Eciton: Very Low-Power LSTM Neural Network Accelerator for Predictive Maintenance at the Edge. - Jeffrey Chen; Sehwan Hong; Warrick He; Jinyeong Moon; Sang-Woo Jun (FPL, 2021)

Virtual avatars for instruction and student response during streaming video-based on-line teaching. - Sang-Woo Jun (ICCSE, 2021)

: Near-Storage Accelerator for High-Performance Log Analytics. - Seongyoung Kang; Jiyoung An; Jinpyo Kim; Sang-Woo Jun (MICRO, 2021)

BunchBloomer: Cost-Effective Bloom Filter Accelerator for Genomics Applications. - Seongyoung Kang; Tarun Sai Ganesh Nerella; Shashank Uppoor; Sang-Woo Jun (FPL, 2022)

Very Low Power High-Frequency Floating Point FPGA PID Controller. - Radhit Dedania; Sang-Woo Jun (HEART, 2022)

BurstZ+: Eliminating The Communication Bottleneck of Scientific Computing Accelerators via Accelerated Compression. - Gongjin Sun; Seongyoung Kang; Sang-Woo Jun (ACM Trans. Reconfigurable Technol. Syst., 2022)

Barad-dur: Near-Storage Accelerator for Training Large Graph Neural Networks. - Jiyoung An; Esmerald Aliaj; Sang-Woo Jun (PACT, 2023)

FarSlayer: Turnkey Acceleration of Legacy Software on Commodity FPGA Cards. - Esmerald Aliaj; Alberto Krone-Martins; Joshua Garcia; Sang-Woo Jun (ASAP, 2023)

PreCog: Near-Storage Accelerator for Heterogeneous CNN Inference. - Jiyoung An; Esmerald Aliaj; Sang-Woo Jun (ASAP, 2023)

Near-Storage Accelerator for Bulk Graph Ingestion. - Seongyoung Kang; Sang-Woo Jun (IPDPS Workshops, 2023)

Myrmec: FPGA-Accelerated SmartNIC for Cost and Power Efficient IoT Sensor Networks. - Jeffrey Chen; Sang-Woo Jun (SAMOS, 2023)

BMoss: Reconfigurable Hardware Accelerator for Scalable Plagiarism Detection. - Esmerald Aliaj; Alberto Krone-Martins; Sang-Woo Jun (APSys, 2024)

Durin: CPU-FPGA Heterogeneous Platform for Scalable Low-Dimensional Data Clustering. - Se-Min Lim; Esmerald Aliaj; Sang-Woo Jun (IEEE Big Data, 2024)

RapidOMS: FPGA-based Open Modification Spectral Library Searching with HD Computing. - Sumukh Pinge; Weihong Xu; Wout Bittremieux; Niema Moshiri; Sang-Woo Jun; Tajana Rosing (BioCAS, 2024)

Sting: Near-storage accelerator framework for scalable triangle counting and beyond. - Seongyoung Kang; Sang-Woo Jun (DAC, 2024)

FlexForge: Efficient Reconfigurable Cloud Acceleration via Peripheral Resource Disaggregation. - Se-Min Lim; Sang-Woo Jun (DATE, 2024)

Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery. - Se-Min Lim; Esmerald Aliaj; Sang-Woo Jun (e-Science, 2024)

Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond. - Jeffrey Chen; Sang-Woo Jun; Aditi Mundra; Jonathan Ta (ISLPED, 2024)

Eciton: Very Low-power Recurrent Neural Network Accelerator for Real-time Inference at the Edge. - Jeffrey Chen; Sang-Woo Jun; Sehwan Hong; Warrick He; Jinyeong Moon (ACM Trans. Reconfigurable Technol. Syst., 2024)

Labidus: RISC-V Overlay with Streaming Asynchronous Custom Instructions. - Gongjin Sun; Seongyoung Kang; Jane He; Se-Min Lim; Sang-Woo Jun (ASAP, 2025)

IceSpy: Reconfigurable Edge Accelerator for Scalable and Private Structural Health Monitoring. - Alexandra Zhang Jiang; Jonathan Ta; Yuqiao Li; Zhou Li 001; Nalini Venkatasubramanian; Monica D. Kohler; Sang-Woo Jun (FCCM, 2025)

MAPLE: Flexible-Precision Processing-In-Memory Architecture for Efficient On-Device ML. - Jaewon Park; Quang Anh Hoang; Jonathan Ta; Shinhaeng Kang; Kyomin Sohn; Sang-Woo Jun (ACM Great Lakes Symposium on VLSI, 2025)

Bancroft: Genomics Acceleration Beyond On-Device Memory. - Se-Min Lim; Seongyoung Kang; Sang-Woo Jun (CoRR, 2025)