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Publication search results
found 91 matches
- 2024
- Purab Ranjan Sutradhar, Sathwika Bavikadi, Sai Manoj Pudukotai Dinakarrao, Mark A. Indovina, Amlan Ganguly:
3DL-PIM: A Look-Up Table Oriented Programmable Processing in Memory Architecture Based on the 3-D Stacked Memory for Data-Intensive Applications. IEEE Trans. Emerg. Top. Comput. 12(1): 60-72 (2024) - Joonseop Sim, Soohong Ahn, Taeyoung Ahn, Seungyong Lee, Myunghyun Rhee, Jooyoung Kim, Kwangsik Shin, Donguk Moon, Euiseok Kim, Kyoung Park:
Computational CXL-Memory Solution for Accelerating Memory-Intensive Applications. HPCA 2024: 615 - Jie Zhang, Xuzheng Chen, Yin Zhang, Zeke Wang:
DmRPC: Disaggregated Memory-aware Datacenter RPC for Data-intensive Applications. ICDE 2024: 3796-3809 - Sepehr Jalalian, Shaurya Patel, Milad Rezaei Hajidehi, Margo I. Seltzer, Alexandra Fedorova:
ExtMem: Enabling Application-Aware Virtual Memory Management for Data-Intensive Applications. USENIX ATC 2024: 397-408 - Sathwika Bavikadi, Purab Ranjan Sutradhar, Amlan Ganguly, Sai Manoj Pudukotai Dinakarrao:
Reconfigurable Processing-in-Memory Architecture for Data Intensive Applications. VLSID 2024: 222-227 - 2023
- Myeonggyun Han, Eunseong Park, Youngsam Shin, Deok-Jae Oh, Yeongon Cho, Woongki Baek:
COSMOS: Coordinated Management of Cores, Memory, and Compressed Memory Swap for QoS-Aware and Efficient Workload Consolidation for Memory-Intensive Applications. IEEE Access 11: 133199-133214 (2023) - Joonseop Sim, Soohong Ahn, Taeyoung Ahn, Seungyong Lee, Myunghyun Rhee, Jooyoung Kim, Kwangsik Shin, Donguk Moon, Euiseok Kim, Kyoung Park:
Computational CXL-Memory Solution for Accelerating Memory-Intensive Applications. IEEE Comput. Archit. Lett. 22(1): 5-8 (2023) - Ananth Krishna Prasad, Mahdi Nazm Bojnordi:
Monarch: A Durable Polymorphic Memory for Data Intensive Applications. IEEE Trans. Computers 72(2): 535-547 (2023) - Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Fan Yao, Rickard Ewetz:
STREAM: Toward READ-Based In-Memory Computing for Streaming-Based Processing for Data-Intensive Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(11): 3854-3867 (2023) - Nima Eslami, Mohammad Hossein Moaiyeri:
A Flexible and Reliable RRAM-Based In-Memory Computing Architecture for Data-Intensive Applications. IEEE Trans. Emerg. Top. Comput. 11(3): 736-748 (2023) - 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 - Muhammad Rashedul Haq Rashed, Sven Thijssen, Sumit Kumar Jha, Hao Zheng, Rickard Ewetz:
Path-Based Processing using In-Memory Systolic Arrays for Accelerating Data-Intensive Applications. ICCAD 2023: 1-9 - HooYoung Ahn, SeonYoung Kim, Yoo-Mi Park, Woojong Han:
Design and Implementation of Data-Intensive Application using Memory Expansion Device. ICTC 2023: 1776-1780 - 2022
- Javier García Blas, David E. Singh, Jesús Carretero:
IMSS: In-Memory Storage System for Data Intensive Applications. ISC Workshops 2022: 190-205 - 2021
- Xiao Liu:
Enabling Non-Volatile Memory for Data-intensive Applications. University of California, San Diego, USA, 2021 - Gagandeep Singh, Mohammed Alser, Damla Senol Cali, Dionysios Diamantopoulos, Juan Gómez-Luna, Henk Corporaal, Onur Mutlu:
FPGA-Based Near-Memory Acceleration of Modern Data-Intensive Applications. IEEE Micro 41(4): 39-48 (2021) - Aaqif Afzaal Abbasi, Sameen Javed, Shahaboddin Shamshirband:
An intelligent memory caching architecture for data-intensive multimedia applications. Multim. Tools Appl. 80(11): 16743-16761 (2021) - Ashutosh Dhar, Paul Reckamp, Jinjun Xiong, Wen-Mei Hwu, Deming Chen:
Graviton: A Reconfigurable Memory-Compute Fabric for Data Intensive Applications. ARC 2021: 254-264 - Kaiyang Zhao, Sishuai Gong, Pedro Fonseca:
On-demand-fork: a microsecond fork for memory-intensive and latency-sensitive applications. EuroSys 2021: 540-555 - Shrikant S. Jadhav, Clay Gloster, Jannatun Naher, Christopher C. Doss, Youngsoo Kim:
A Multi-Memory Field-Programmable Custom Computing Machine for Accelerating Compute-Intensive Applications. UEMCON 2021: 619-628 - Gagandeep Singh, Mohammed Alser, Damla Senol Cali, Dionysios Diamantopoulos, Juan Gómez-Luna, Henk Corporaal, Onur Mutlu:
FPGA-based Near-Memory Acceleration of Modern Data-Intensive Applications. CoRR abs/2106.06433 (2021) - Ananth Krishna Prasad, Mahdi Nazm Bojnordi:
Monarch: A Durable Polymorphic Memory For Data Intensive Applications. CoRR abs/2108.08497 (2021) - Haripriya Sheshadri, Shwetha Vijayakumar, Ajey P. Jacob, Akhilesh R. Jaiswal:
Augmented Memory Computing: Dynamically Augmented SRAM Storage for Data Intensive Applications. CoRR abs/2109.03022 (2021) - 2020
- Joe H. Novak, Sneha Kumar Kasera, Ryan Stutsman:
Auto-Scaling Cloud-Based Memory-Intensive Applications. CLOUD 2020: 229-237 - Carson Hanel, Arif Arman, Di Xiao, John Keech, Dmitri Loguinov:
Vortex: Extreme-Performance Memory Abstractions for Data-Intensive Streaming Applications. ASPLOS 2020: 623-638 - Debashis Ganguly, Ziyu Zhang, Jun Yang, Rami G. Melhem:
Adaptive Page Migration for Irregular Data-intensive Applications under GPU Memory Oversubscription. IPDPS 2020: 451-461 - 2019
- Arslan Arif:
Performance Optimization of Memory Intensive Applications on FPGA Accelerator. Polytechnic University of Turin, Italy, 2019 - Xi Wang, Jie Li, Antonino Tumeo, John D. Leidel, Yong Chen:
POSTER: Memory Hotspot Optimization for Data-Intensive Applications. PACT 2019: 467-468 - Wei Chen, Aidi Pi, Shaoqi Wang, Xiaobo Zhou:
Pufferfish: Container-driven Elastic Memory Management for Data-intensive Applications. SoCC 2019: 259-271 - Bing Li, Bonan Yan, Hai Li:
An Overview of In-memory Processing with Emerging Non-volatile Memory for Data-intensive Applications. ACM Great Lakes Symposium on VLSI 2019: 381-386
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