Processor in Non-Volatile Memory (PiNVSM): Towards to Data-centric Computing in Decentralized Environment
The AI problem has no solution in the environment of existing hardware stack and OS architecture. CPU-centric model of computation has a huge number of drawbacks that originate from memory hierarchy and obsolete architecture of the computing core. The concept of mixing memory and logic has been arou...
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Zusammenfassung: | The AI problem has no solution in the environment of existing hardware stack
and OS architecture. CPU-centric model of computation has a huge number of
drawbacks that originate from memory hierarchy and obsolete architecture of the
computing core. The concept of mixing memory and logic has been around since
1960s. However, the concept of Processor-In-Memory (PIM) is unable to resolve
the critical issues of the CPU-centric computing model because of inevitable
replication of von Neumann architecture's drawbacks. The next generation of
NVM/SCM memory is able to give the second birth to the data-centric computing
paradigm. This paper presents a concept of Processor in Non-Volatile Memory
(PiNVSM) architecture. The basis of PiNVSM architecture is the concept of DPU
that contains the NVM memory and dedicated PU. All necessary PU's registers can
be implemented in the space of NVM memory. NVM memory of DPU is the single
space for storing and transformation of data. In the basis of PiNVSM
architecture lies the DPU array is able to overcome the limitations as Turing
machine model as von Neumann architecture. The DPU array hasn't a centralized
computing core. Every data portion has dedicated computing core that excludes
the necessity to transfer data to the place of data processing. Every DPU
contains data portion that is associated with the set of keywords. Any complex
data structure can be split on elementary items that can be stored into
independent DPU with dedicated computing core(s). One DPU is able to apply the
elementary transformation on one item. But the DPU array is able to make the
transformation of complex structure by means of concurrent execution of
elementary transformations in different DPUs. The PiNVSM architecture suggests
a principally new architecture of the computing core that creates a new
opportunity for data self-organization, data and code synthesis. |
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DOI: | 10.48550/arxiv.1903.03701 |