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Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
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).