Neupims: Npu-pim heterogeneous acceleration for batched llm inferencing
Modern transformer-based Large Language Models (LLMs) are constructed with a series of
decoder blocks. Each block comprises three key components:(1) QKV generation,(2) multi …
decoder blocks. Each block comprises three key components:(1) QKV generation,(2) multi …
pSyncPIM: Partially Synchronous Execution of Sparse Matrix Operations for All-Bank PIM Architectures
Recent commercial incarnations of processing-in-memory (PIM) maintain the standard
DRAM interface and employ the all-bank mode execution to maximize bank-level memory …
DRAM interface and employ the all-bank mode execution to maximize bank-level memory …
Darwin: A DRAM-Based Multi-Level Processing-in-Memory Architecture for Column-Oriented Database
We propose Darwin, a practical LRDIMM-based multi-level Processing-in-memory (PIM)
architecture for data analytics, which exploits the internal bandwidth of DRAM using the …
architecture for data analytics, which exploits the internal bandwidth of DRAM using the …
LoL-PIM: Long-Context LLM Decoding with Scalable DRAM-PIM System
H Kwon, K Koo, J Kim, W Lee, M Lee, H Lee… - arXiv preprint arXiv …, 2024 - arxiv.org
The expansion of large language models (LLMs) with hundreds of billions of parameters
presents significant challenges to computational resources, particularly data movement and …
presents significant challenges to computational resources, particularly data movement and …