INVITED: Accelerator Design for Deep Learning Training: Extended Abstract: Invited
- Ankur Agrawal
- Chia-Yu Chen
- et al.
- 2017
- DAC 2017
Conference paper
Publications
66 results for Vijayalakshmi Srinivasan
Needle: Leveraging Program Analysis to Analyze and Extract Accelerators from Whole Programs
- Snehasish Kumar
- Nick Sumner
- et al.
- 2017
- HPCA 2017
Conference paperCo-designing accelerators and SoC interfaces using gem5-Aladdin
- Yakun Sophia Shao
- Sam Likun Xi
- et al.
- 2016
- MICRO 2016
Conference paperApproximate computing: Challenges and opportunities
- Ankur Agrawal
- Jungwook Choi
- et al.
- 2016
- ICRC 2016
Conference paperPeruse and profit : Estimating the accelerability of loops
- Snehasish Kumar
- Vijayalakshmi Srinivasan
- et al.
- 2016
- ICS 2016
Conference paperSelf-contained, accurate precomputation prefetching
- Islam Atta
- Xin Tong
- et al.
- 2015
- MICRO 2015
Conference paperDASX: Hardware accelerator for software data structures
- Snehasish Kumar
- Naveen Vedula
- et al.
- 2015
- ICS 2015
Conference paperSQRL: Hardware accelerator for collecting software data structures
- Snehasish Kumar
- Arrvindh Shriraman
- et al.
- 2014
- PACT 2014
Conference paperComparing implementations of near-data computing with in-memory mapreduce workloads
- Seth H. Pugsley
- Jeffrey Jestes
- et al.
- 2014
- IEEE Micro
PaperNDC: Analyzing the impact of 3D-stacked memory+logic devices on MapReduce workloads
- Seth H. Pugsley
- Jeffrey Jestes
- et al.
- 2014
- ISPASS 2014
Conference paper