Communications of the ACM
Another view on parallel speedup
Proceedings of the 1990 ACM/IEEE conference on Supercomputing
Scalable problems and memory-bounded speedup
Journal of Parallel and Distributed Computing
Hitting the memory wall: implications of the obvious
ACM SIGARCH Computer Architecture News
Proceedings of the 32nd annual ACM/IEEE international symposium on Microarchitecture
Parallel Computer Architecture: A Hardware/Software Approach
Parallel Computer Architecture: A Hardware/Software Approach
Scalable Parallel Computing: Technology,Architecture,Programming
Scalable Parallel Computing: Technology,Architecture,Programming
Chip multiprocessing and the cell broadband engine
Proceedings of the 3rd conference on Computing frontiers
Computer Architecture, Fourth Edition: A Quantitative Approach
Computer Architecture, Fourth Edition: A Quantitative Approach
Proceedings of the 2007 ACM/IEEE conference on Supercomputing
Amdahl's Law in the Multicore Era
Computer
Validity of the single processor approach to achieving large scale computing capabilities
AFIPS '67 (Spring) Proceedings of the April 18-20, 1967, spring joint computer conference
Enabling Energy-Efficient Analysis of Massive Neural Signals Using GPGPU
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
What Hill-Marty model learn from and break through Amdahl's law?
Information Processing Letters
Journal of Parallel and Distributed Computing
Energy consumption modeling for hybrid computing
Euro-Par'12 Proceedings of the 18th international conference on Parallel Processing
Wimpy or brawny cores: A throughput perspective
Journal of Parallel and Distributed Computing
Modeling the effects of DFS on power consumption in hybrid chip multiprocessors
E2SC '13 Proceedings of the 1st International Workshop on Energy Efficient Supercomputing
Analytical modeling of energy efficiency in heterogeneous processors
Computers and Electrical Engineering
Extending Amdahl's law and Gustafson's law by evaluating interconnections on multi-core processors
The Journal of Supercomputing
A thread partitioning approach for speculative multithreading
The Journal of Supercomputing
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Microprocessor architecture has entered the multicore era. Recently, Hill and Marty presented a pessimistic view of multicore scalability. Their analysis was based on Amdahl's law (i.e. fixed-workload condition) and challenged readers to develop better models. In this study, we analyze multicore scalability under fixed-time and memory-bound conditions and from the data access (memory wall) perspective. We use the same hardware cost model of multicore chips used by Hill and Marty, but achieve very different and more optimistic performance models. These models show that there is no inherent, immovable upper bound on the scalability of multicore architectures. These results complement existing studies and demonstrate that multicore architectures are capable of extensive scalability.