A case for redundant arrays of inexpensive disks (RAID)
SIGMOD '88 Proceedings of the 1988 ACM SIGMOD international conference on Management of data
Two-level adaptive training branch prediction
MICRO 24 Proceedings of the 24th annual international symposium on Microarchitecture
ISCA '95 Proceedings of the 22nd annual international symposium on Computer architecture
Memory dependence prediction using store sets
Proceedings of the 25th annual international symposium on Computer architecture
25 years of the international symposia on Computer architecture (selected papers)
The Evolution of the Unix Time-Sharing System
Proceedings of a Symposium on Language Design and Programming Methodology
Computation spreading: employing hardware migration to specialize CMP cores on-the-fly
Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
Introduction and overview of the multics system
AFIPS '65 (Fall, part I) Proceedings of the November 30--December 1, 1965, fall joint computer conference, part I
Toward a multicore architecture for real-time ray-tracing
Proceedings of the 41st annual IEEE/ACM International Symposium on Microarchitecture
A view of the parallel computing landscape
Communications of the ACM - A View of Parallel Computing
PLUG: flexible lookup modules for rapid deployment of new protocols in high-speed routers
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
An empirical model for predicting cross-core performance interference on multicore processors
PACT '13 Proceedings of the 22nd international conference on Parallel architectures and compilation techniques
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The hardware trend toward multicore processors has so far been driven by technology limitations of wire delays, power efficiency, and limited capability to exploit instruction-level parallelism. Software evolution has lead to the rise of the cloud. This multicore + cloud evolution provides several challenges and has led to a call for parallelism. In this paper, we first examine the drivers behind these trends to address three fallacies: software is driven by hardware, multicores will be everywhere, and multicore hardware implies parallelism is exposed to all developers. We first address these fallacies and then present our simple view of the future cloud-based ecosystem, based on what we refer to as data-centric concurrency.