DRAMsim: a memory system simulator. - David Wang 003; Brinda Ganesh; Nuengwong Tuaycharoen; Kathleen Baynes; Aamer Jaleel; Bruce L. Jacob (SIGARCH Comput. Archit. News, 2005)

Using the Semantic Web to Integrate Ecoinformatics Resources. - Cynthia Sims Parr; Andriy Parafiynyk; Joel Sachs; Rong Pan; Lushan Han; Li Ding 001; Tim Finin; David Wang 003 (AAAI, 2006)

Using the Semantic Web to Support Ecoinformatics. - Joel Sachs; Cynthia Sims Parr; Andriy Parafiynyk; Rong Pan; Lushan Han; Li Ding 001; Tim Finin; Allan Hollander; David Wang 003 (AAAI Fall Symposium: Semantic Web for Collaborative Knowledge Acquisition, 2006)

Integrating ecoinformatics resources on the semantic web. - Cynthia Sims Parr; Andriy Parafiynyk; Joel Sachs; Li Ding 001; Sandor Dornbush; Timothy W. Finin; David Wang 003; Allan Hollander (WWW, 2006)

Fully-Buffered DIMM Memory Architectures: Understanding Mechanisms, Overheads and Scaling. - Brinda Ganesh; Aamer Jaleel; David Wang 003; Bruce L. Jacob (HPCA, 2007)

Aquabolt-XL: Samsung HBM2-PIM with in-memory processing for ML accelerators and beyond. - Jin Hyun Kim; Shinhaeng Kang; Sukhan Lee 002; Hyeonsu Kim; Woongjae Song; Yuhwan Ro; Seungwon Lee; David Wang 003; Hyunsung Shin; BengSeng Phuah; Jihyun Choi; Jinin So; et al. (HCS, 2021)

Hardware Architecture and Software Stack for PIM Based on Commercial DRAM Technology : Industrial Product. - Sukhan Lee 002; Shinhaeng Kang; Jaehoon Lee 005; Hyeonsu Kim; Eojin Lee; Seungwoo Seo; Hosang Yoon; Seungwon Lee; Kyounghwan Lim; Hyunsung Shin; Jinhyun Kim; Seongil O; et al. (ISCA, 2021)

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. - Young-Cheon Kwon; Sukhan Lee 002; Jaehoon Lee 005; Sang-Hyuk Kwon; Je-Min Ryu; Jong-Pil Son; Seongil O; Hak-soo Yu; Haesuk Lee; Soo Young Kim; Youngmin Cho; Jin Guk Kim; et al. (ISSCC, 2021)

Aquabolt-XL HBM2-PIM, LPDDR5-PIM With In-Memory Processing, and AXDIMM With Acceleration Buffer. - Jin Hyun Kim; Shinhaeng Kang; Sukhan Lee 002; Hyeonsu Kim; Yuhwan Ro; Seungwon Lee; David Wang 003; Jihyun Choi; Jinin So; YeonGon Cho; Joon-Ho Song; Jeonghyeon Cho; et al. (IEEE Micro, 2022)