2 papers
cs.AR2025
DECA: A Near-Core LLM Decompression Accelerator Grounded on a 3D Roofline Model
Gerasimos Gerogiannis, Stijn Eyerman, Evangelos Georganas +2
To alleviate the memory bandwidth bottleneck in Large Language Model (LLM) inference workloads, weight matrices are stored in memory in quantized and sparsified formats. Hence, bef…
cs.DC2022
Efficient Asynchronous RPC Calls for Microservices: DeathStarBench Study
Stijn Eyerman, Ibrahim Hur
Crucial in the performance of microservice applications is the efficient handling of RPC calls. We found that the asynchronous call implementation in a popular microservice benchma…