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CIMERA is presented, a reconfigurable-precision LLM inference accelerator that integrates compute-in-interconnect and memory to mitigate the memory wall and enable precision-aware execution.
LLM inference has become an essential service, yet it imposes unprecedented demands on memory bandwidth, computational density, and communication efficiency. While IMC is a promising solution to the memory wall issue, the heterogeneous data dynamicity of LLM requires complementary resources to handle intermediate data...
Evaluation using cycle-accurate hardware-software co-simulation demonstrates that CHIPSMORE effectively sustains high throughput across varying model sizes, context lengths, and batch sizes while maintaining favorable power scaling.
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