Kim Hazelwood

MLPerf Training Benchmark pdf

David Patterson, Carole-Jean Wu, Gu-Yeon Wei, 2019, MLSys.

ParaWeaver: Performance Evaluation on Programming Models for Fine Grained Threads

Jiayuan Meng, Kim Hazelwood, Dee Weikle, 2012 .

Understanding Training Efficiency of Deep Learning Recommendation Models at Scale pdf

Carole-Jean Wu, Kim M. Hazelwood, Xiaodong Wang, 2020, 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

The Architectural Implications of Facebook's DNN-Based Personalized Recommendation

Carole-Jean Wu, David Brooks, Liang Xiong, 2019, 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA).

RecNMP: Accelerating Personalized Recommendation with Near-Memory Processing

Martin D. Schatz, Carole-Jean Wu, Hsien-Hsin S. Lee, 2019, 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA).

Runtime adaptation: a case for reactive code alignment

Kim Hazelwood, Michelle McDaniel, 2012, EXADAPT '12.

Exploiting Parallelism Opportunities with Deep Learning Frameworks

Carole-Jean Wu, Kim Hazelwood, David Brooks, 2019, ACM Trans. Archit. Code Optim..