6 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
CXL-ClusterSim: Modeling CXL-based Disaggregated Memory Cluster for Pooling and Sharing using gem5 and SST
Kaustav Goswami, Maryam Babaie, Hoa Nguyen +2
Large-scale AI training and inference require hundreds of gigabytes to terabytes of DRAM with high peak to average utilization ratios, resulting in overprovisioning. In cloud compu…
Space-Control: Process-Level Isolation for Sharing CXL-based Disaggregated Memory
Kaustav Goswami, Sean Peisert, Venkatesh Akella +1
Memory disaggregation via CXL enables multi-host resource sharing. However, existing CXL sharing mechanisms enforce coarse-grained, host-level permissions only, leaving isolation t…
Toward Reproducible and Standardized Computer Architecture Simulation with gem5
Kunal Pai, Harshil Patel, Erin Le +4
Reproducibility in simulation-based computer architecture research requires coordinating artifacts like disk images, kernels, and benchmarks, but existing workflows are inconsisten…
Potential and Limitation of High-Frequency Cores and Caches
Kunal Pai, Anusheel Nand, Jason Lowe-Power
This paper explores the potential of cryogenic semiconductor computing and superconductor electronics as promising alternatives to traditional semiconductor devices. As semiconduct…
When to use 3D Die-Stacked Memory for Bandwidth-Constrained Big Data Workloads
Jason Lowe-Power, Mark D. Hill, David A. Wood
Response time requirements for big data processing systems are shrinking. To meet this strict response time requirement, many big data systems store all or most of their data in ma…