Issue No. 01 - January (2018 vol. 51)
C. Gordon Bell , Microsoft Research (retired)
Ike Nassi , TidalScale and University of California, Santa Cruz
Scalable and coherent shared memory has been a long-sought-after but elusive goal. In contrast to today’s popular distributed-computing models, the authors present a software-defined server architecture that is a scale-up shared-memory multiprocessor, yet uses ubiquitous commodity scale-out clusters.
Random access memory, Servers, Computer architecture, Program processors, Computer architecture, Virtual machining
C. G. Bell and I. Nassi, "Revisiting Scalable Coherent Shared Memory," in Computer, vol. 51, no. 1, pp. 40-49, 2018.