Postdoctoral Research Associate in Emerging Architectures for HPC
Email: mittals at ornl dot gov
Overall area: Computer architecture (CPU, GPU and CPU-GPU heterogeneous systems), High-performance computing
Specific research interests: architectural simulation, energy-efficient main memory and cache design, sustainable computing, low-power computing, cache reconfiguration.
Memory technologies: SRAM, non-volatile memory (NVM) devices (STT-RAM, PCM, ReRAM), DRAM memory and eDRAM cache
Research objectives: Improving performance, energy efficiency and resilience/reliability of cache and memory systems. Improving lifetime of NVM devices.
1. ACM Computing Surveys 2015 (impact factor 4.04): A Survey of Methods for Analyzing and Improving GPU Energy Efficiency.
2. IEEE Trans. on VLSI 2013 (impact factor 1.14): MASTER: A Multicore Cache Energy Saving Technique Using Dynamic Cache Reconfiguration
3. IEEE TPDS 2015 (impact factor 2.17): A Survey of Techniques for Modeling and Improving Reliability of Computing Systems
4. IEEE TPDS 2015 (impact factor 2.17): A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-volatile On-chip Caches
5. ACM/IEEE Supercomputing (acceptance rate 21% Best Student Paper Session): Quantitatively Modeling Application Resiliency with the Data Vulnerability Factor
6. IEEE ICCD 2013 (acceptance rate ~ 25%): FlexiWay: A Cache Energy Saving Technique Using Fine-grained Cache Reconfiguration
7. ACM HPDC 2014 (acceptance rate ~ 16%): Improving energy efficiency of Embedded DRAM Caches for High-end Computing Systems
8. IEEE Trans. on VLSI 2015 (impact factor 1.14): EqualWrites: Reducing Intra-set Write Variations for Enhancing Lifetime of Non-volatile Caches
9. JCSC 2014 (impact factor 0.33): A Survey Of Techniques for Managing and Leveraging Caches in GPUs
10. Elsevier SUSCOM 2014: A Survey of Architectural Techniques For Improving Cache Power Efficiency
See http://publicationslist.org/sparsh0mittal for full publication list and download links.
The PowerPoint slides of a few conference presentations are available here.
1. DESTINY: DESTINY is an acronym for 3D design-space exploration tool for SRAM, eDRAM and non-volatile memory. It is a tool for modeling both 2D and 3D caches designed with five prominent memory technologies: SRAM, eDRAM, PCM, STT-RAM and ReRAM, which covers both conventional and emerging technologies. In its purpose, it is similar to CACTI, CACTI-3DD or NVSim. (Source-code can be downloaded from here. The pdf of technical report is here which is extended version of our DATE 2015 paper).
The proverb goes, write your own destiny. Hence, we have written our own [tool named] DESTINY. J
2. Both serial and parallel versions of code of red-black SOR (successive over-relaxation) method in three state-of-the-art languages, viz. Chapel (from Cray Inc.), D (also called dlang, from Digital Mars) and Go (also called golang, from Google) can be downloaded for academic use from this link. They were used in this paper. Chapel version of the code has been incorporated in Chapel performance test suite/examples.
PhD from Iowa State University (ISU), Ames, Iowa, USA (2008-2013).
BTech from Indian Institute of Technology (IIT) Roorkee, Uttarakhand, India (2004-2008).
Awards and Honors
1. Received Distinguished Contribution rating at ORNL based on 2013-2014 performance appraisal. This rating recognizes the top 10 percent of staff.
2. ECpE fellowship from Electrical and Computer Engineering Department, Iowa State University, USA of $2500 in 2008.
3. Peer Research Award from Iowa State University, USA of $200 in 2013.
4. Topper in Electronics batch of year 2008 in ECE department at IIT Roorkee and received Institute Silver Medal for this.
5. Institute Silver Medal for Best B.Tech project award in Electronics and Computer Engineering (ECE) Department at IIT Roorkee.
6. Sumer Chand Jain Scholarship of INR 10,000 from IIT Roorkee.
Best Student Award from High School (named MHS, Jaipur, Rajasthan, India) in 2004.
Reviewer for: ACM Computing Surveys, ACM TACO, IEEE Intelligent Systems, IEEE ISVLSI, Springer book High Performance Computing in Power and Energy Systems.
Matthew (Matt) Poremba, Penn State University, USA, 06/2014-09/2014
Programming Languages/tools: C, C++, CUDA, Go (from Google), X10 (from IBM), Matlab, Simulink, System Generator (Xilinx), python, LaTeX, Gnuplot.
Architectural Simulators: Simplescalar, GEMS, Sniper, MARSS.
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