IMISCET 2016 - First International Workshop on In-Memory and In-Storage Computing with Emerging Technologies
Topics/Call fo Papers
Most contemporary high performance computers are based on von Neumann architecture. It is widely recognized that such architecture suffers from CPU-memory bottleneck. The problem affects both performance and power efficiency of multicore and manycore architectures. With continuation of CPU scaling (driven by Moore’s law and parallelization), the von Neumann bottleneck problem will become even more acute.
Another major factor affecting today’s high performance computing is the slowdown in scaling of traditional charge-based memories such as DRAM and NAND Flash. In response, many novel nano-devices and materials are under investigation to create an alternative to charge-based memory. Such alternatives include memristors, RRAM, PCM, 3D Xpoint, STT-MRAM and others. These technologies have a wide range of potential applications beyond memory, including solid state disks, digital computing, neuromorphic computing, etc.
This workshop will provide a high-quality forum for scientists and researchers to present their latest research findings in this rapidly changing field. We will discuss the use of emerging technologies as enabler of a next generation of new architectures. Authors are invited to submit papers on all aspects of emerging memory and storage technology based computing. Topics of interest include, but are not limited to:
Emerging memory technology based processing, cache, and memory architecture.
In-memory computing architecture.
Emerging storage technology and in-SSD computing architecture.
Impact of emerging memory technology on architecture.
Power-efficient emerging memory technology based architectures and techniques.
Emerging memory technology based embedded and reconfigurable architectures.
Emerging memory technology-inspired hardware/software trade-offs.
Architectures for emerging applications.
Another major factor affecting today’s high performance computing is the slowdown in scaling of traditional charge-based memories such as DRAM and NAND Flash. In response, many novel nano-devices and materials are under investigation to create an alternative to charge-based memory. Such alternatives include memristors, RRAM, PCM, 3D Xpoint, STT-MRAM and others. These technologies have a wide range of potential applications beyond memory, including solid state disks, digital computing, neuromorphic computing, etc.
This workshop will provide a high-quality forum for scientists and researchers to present their latest research findings in this rapidly changing field. We will discuss the use of emerging technologies as enabler of a next generation of new architectures. Authors are invited to submit papers on all aspects of emerging memory and storage technology based computing. Topics of interest include, but are not limited to:
Emerging memory technology based processing, cache, and memory architecture.
In-memory computing architecture.
Emerging storage technology and in-SSD computing architecture.
Impact of emerging memory technology on architecture.
Power-efficient emerging memory technology based architectures and techniques.
Emerging memory technology based embedded and reconfigurable architectures.
Emerging memory technology-inspired hardware/software trade-offs.
Architectures for emerging applications.
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Last modified: 2016-05-10 22:43:26