DataCenter 2020: Near-memory acceleration for data-oriented applications

In the years between now and 2020, we should expect continued exponential data growth [15][16]. A number of ongoing advances in storage: the transition to solid-state drives (SSDs), the scaling of NAND flash capacity, and advanced silicon packaging techniques will dramatically increase the capacity of storage subsystems over the same timeframe. This will significantly reduce the ratio of storage bandwidth to storage density. Consequently, the majority of data in 2020 will either be cold or will require near-memory acceleration to pull rich information out of the sea of big data. We argue that, increasingly over time, value lies not merely in the size of the data, but rather in what one can do with it.

[1]  David A. Patterson,et al.  A case for intelligent disks (IDISKs) , 1998, SGMD.

[2]  Christos Faloutsos,et al.  Active Storage for Large-Scale Data Mining and Multimedia , 1998, VLDB.

[3]  David J. DeWitt,et al.  DBMSs on a Modern Processor: Where Does Time Go? , 1999, VLDB.

[4]  Jarek Nieplocha,et al.  Evaluation of active storage strategies for the lustre parallel file system , 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).

[5]  Babak Falsafi,et al.  Database Servers on Chip Multiprocessors: Limitations and Opportunities , 2007, CIDR.

[6]  Arun Jagatheesan,et al.  Understanding the Impact of Emerging Non-Volatile Memories on High-Performance, IO-Intensive Computing , 2010, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis.

[7]  Rajesh K. Gupta,et al.  Moneta: A High-Performance Storage Array Architecture for Next-Generation, Non-volatile Memories , 2010, 2010 43rd Annual IEEE/ACM International Symposium on Microarchitecture.

[8]  Martin Hilbert,et al.  The World’s Technological Capacity to Store, Communicate, and Compute Information , 2011, Science.

[9]  J. Manyika Big data: The next frontier for innovation, competition, and productivity , 2011 .

[10]  Christoforos E. Kozyrakis,et al.  Towards energy-proportional datacenter memory with mobile DRAM , 2012, 2012 39th Annual International Symposium on Computer Architecture (ISCA).

[11]  Rajesh Gupta,et al.  Minerva: Accelerating Data Analysis in Next-Generation SSDs , 2013, 2013 IEEE 21st Annual International Symposium on Field-Programmable Custom Computing Machines.

[12]  Mark Horowitz,et al.  1.1 Computing's energy problem (and what we can do about it) , 2014, 2014 IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC).