Anshuman Goswami

PhD Candidate

Systems Lab

School of Computer Science

College of Computing, Georgia Institute of Technology


About Me

My adviser is Prof Karsten Schwan and my research area is manageability of data and execution scheduling for GPU computing. Staring Fall 2013, I joined the Systems Lab in School of Computer Science at Georgia Institute of Technology.

Starting May 2016, I am a Systems Research intern in the Research Labs of HPE exploring Tensorflow for many GPUs.

From May 2013 to August 2013, I interned at Apple enabling GPU acceleration via OpenCL for connected devices.

From May 2012 to December 2012, I explored techniques to minimize GPU acceleration latency for Intel graphics technology at Intel, Hillsboro.

From 2007 to 2010, I worked on SoC performance analysis for mobile multimedia with ST Microelectronics that later became STEricsson, Greater Noida, India.

From 2005 to 2007, I worked on building multimedia software stack on mobile and home entertainment platforms in the TCS Innovation Lab , Kolkata, India.

I completed my undergraduate degree in Electronics & Telecommunication Engineering from Jadavpur University, Kolkata, India in 2005.


"GPUShare : Fair-sharing middleware for GPU Clouds" Anshuman Goswami}, Jeffrey Young, Karsten Schwan, Naila Farooqui, Ada Gavrilovska, Matthew Wolf and Greg Eisenhauer. IPDPSW 2016

"Landrush : Rethinking in-situ analysis for GPGPU workflows" Anshuman Goswami, Yuan Tian, Karsten Schwan, Fang Zheng, Jeffrey Young, Matthew Wolf, Greg Eisenhauer and Scott Klasky. CCGrid 2016

"Scheduling multi-tenant cloud workloads on accelerator-based systems" Dipanjan Sengupta, Anshuman Goswami, Karsten Schwan, Krishnapallavi Vemulapalli. SC14

Contact Information

E-mail: anshumang [at] gatech [dot] edu