Tushar Krishna
Georgia Institute of Technology(US)
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Interconnection Networks and Systems, Advanced Memory and Neural Computing, Advanced Neural Network Applications, Embedded Systems Design Techniques
Most-Cited Works
- → The gem5 simulator(2011)4,799 cited
- → Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks(2016)3,061 cited
- → GARNET: A detailed on-chip network model inside a full-system simulator(2009)747 cited
- → SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training(2020)452 cited
- → Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow(2019)286 cited
- → MAERI(2018)279 cited
- → A Systematic Methodology for Characterizing Scalability of DNN Accelerators using SCALE-Sim(2020)195 cited
- → SCALE-Sim: Systolic CNN Accelerator Simulator(2018)194 cited
- → MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings(2020)185 cited