The BioPIM Project applies processing-in-memory architectures to genomics workloads through algorithm-hardware co-design to achieve lower energy, cost, and time requirements than traditional data-center processing.
GCOC: A genome classifier-on-chip based on similarity search content addressable memory,
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Processing-in-memory for genomics workloads
The BioPIM Project applies processing-in-memory architectures to genomics workloads through algorithm-hardware co-design to achieve lower energy, cost, and time requirements than traditional data-center processing.