Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
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Updated
Feb 21, 2024 - C++
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memory-accelerators
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Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
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Updated
Jun 1, 2021 - C++
MAPLE's hardware-software co-design allows programs to perform long-latency memory accesses asynchronously from the core, avoiding pipeline stalls, and enabling greater memory parallelism (MLP).
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memory-latency
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memory-accelerators
specialized-hardware
memory-access
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Feb 22, 2024 - C
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