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Convolutional neural network (CNN) has been widely employed for image recognition because it can achieve high accuracy by emulating behavior of optic nerves in living creatures. Recently, rapid growth of modern applications based on deep learning algorithms has further improved research and implementations. Especially, various accelerators for deep CNN have(More)
Magnetic random access memory (MRAM) is a promising memory technology, which has fast read access, high density, and non-volatility. Using 3D heterogeneous integrations, it becomes feasible and cost-efficient to stack MRAM atop conventional chip multiprocessors (CMPs). However, one disadvantage of MRAM is its long write latency and its high write energy. In(More)
Magnetic Random Access Memory (MRAM) has been considered as a promising memory technology due to many attractive properties. Integrating MRAM with CMOS logic may incur extra manufacture cost, due to its hybrid magnetic-CMOS fabrication process. Stacking MRAM on top of CMOS logics using 3D integration is a way to minimize this cost overhead. In this paper,(More)
Phase-change memory (PCM) is one of the most promising technologies among emerging non-volatile memories. Recently, the technology of multi-level cell (MLC) for PCM has been developed and a high capacity memory system can be implemented by storing multiple bits in a cell. However, programming MLC PCM involves the program-and-verify scheme. Thus, the energy(More)
Emerging Non-Volatile Memories (NVM) such as Spin-Torque Transfer RAM (STT-RAM) and Resistive RAM (RRAM) have been explored as potential alternatives for traditional SRAM-based Last-Level-Caches (LLCs) due to the benefits of higher density and lower leakage power. However, NVM technologies have long latency and high energy overhead associated with the write(More)
In recent years, non-volatile memory (NVM) technologies have emerged as candidates for future universal memory. NVMs generally have advantages such as low leakage power, high density, and fast read spead. At the same time, NVMs also have disadvantages. For example, NVMs often have asymetric read and write speed and energy cost, which poses new challenges(More)
Emerging memory technologies such as STT-RAM, PCRAM, and resistive RAM are being explored as potential replacements to existing on-chip caches or main memories for future multi-core architectures. This is due to the many attractive features these memory technologies posses: high density, low leakage, and non-volatility. However, the latency and energy(More)
Various key-value (KV) stores are widely employed for data management to support Internet services as they offer higher efficiency, scalability, and availability than relational database systems. The log-structured merge tree (LSM-tree) based KV stores have attracted growing attention because they can eliminate random writes and maintain acceptable read(More)
Selecting an optimal subset from original large feature set in the design of pattern classi"er is an important and di$cult problem. In this paper, we use tabu search to solve this feature selection problem and compare it with classic algorithms, such as sequential methods, branch and boundmethod, etc., and most other suboptimal methods proposed recently,(More)
The emerging three-dimensional (3D) integration technology is one of the promising solutions to overcome the barriers in interconnection scaling, thereby offering an opportunity to continue performance improvements using CMOS technology. As the fabrication of 3D integrated circuits has become viable, developing CAD tools and architectural techniques are(More)