14 citations · 14 across the 3 of their papers we have counts for
3 papers
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…
Accurate and Scalable Many-Node Simulation
Stijn Eyerman, Wim Heirman, Kristof Du Bois +1
Accurate performance estimation of future many-node machines is challenging because it requires detailed simulation models of both node and network. However, simulating the full sy…
PIUMA: Programmable Integrated Unified Memory Architecture
Sriram Aananthakrishnan, Shamsul Abedin, Vincent Cave +16
High performance large scale graph analytics are essential to timely analyze relationships in big data sets. Conventional processor architectures suffer from inefficient resource u…