Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Designing Efficient and High-performance AI Accelerators with Customized
  STT-MRAM   In this paper, we demonstrate the design of efficient and high-performance
AI/Deep Learning accelerators with customized STT-MRAM and a reconfigurable
core. Based on model-driven detailed design space exploration, we present the
design methodology of an innovative scratchpad-assisted on-chip STT-MRAM based
buffer system for high-performance accelerators. Using analytically derived
expression of memory occupancy time of AI model weights and activation maps,
the volatility of STT-MRAM is adjusted with process and temperature variation
aware scaling of thermal stability factor to optimize the retention time,
energy, read/write latency, and area of STT-MRAM. From the analysis of modern
AI workloads and accelerator implementation in 14nm technology, we verify the
efficacy of our designed AI accelerator with STT-MRAM STT-AI. Compared to an
SRAM-based implementation, the STT-AI accelerator achieves 75% area and 3%
power savings at iso-accuracy. Furthermore, with a relaxed bit error rate and
negligible AI accuracy trade-off, the designed STT-AI Ultra accelerator
achieves 75.4%, and 3.5% savings in area and power, respectively over regular
SRAM-based accelerators.

14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
3
The categories of this paper are: physics
7
The categories of this paper are: hep-th
27
The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
2
The categories of this paper are: math
21
The categories of this paper are: adap-org
6
The categories of this paper are: astro-ph
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The categories of this paper are: acc-phys
25
The categories of this paper are: patt-sol