Kenneth J. Reyer
IBM
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Publication
Featured researches published by Kenneth J. Reyer.
IEEE Journal of Solid-state Circuits | 2016
Gregory J. Fredeman; Donald W. Plass; Abraham Mathews; Janakiraman Viraraghavan; Kenneth J. Reyer; Thomas J. Knips; Thomas R. Miller; Elizabeth L. Gerhard; Dinesh Kannambadi; Chris Paone; Dongho Lee; Daniel Rainey; Michael A. Sperling; Michael Whalen; Steven Burns; Rajesh Reddy Tummuru; Herbert L. Ho; Alberto Cestero; Norbert Arnold; Babar A. Khan; Toshiaki Kirihata; Subramanian S. Iyer
A 1.1 Mb embedded DRAM macro (eDRAM), for next-generation IBM SOI processors, employs 14 nm FinFET logic technology with 0.0174 μm2 deep-trench capacitor cell. A Gated-feedback sense amplifier enables a high voltage gain of a power-gated inverter at mid-level input voltage, while supporting 66 cells per local bit-line. A dynamic-and-gate-thin-oxide word-line driver that tracks standard logic process variation improves the eDRAM array performance with reduced area. The 1.1 Mb macro composed of 8 ×2 72 Kb subarrays is organized with a center interface block architecture, allowing 1 ns access latency and 1 ns bank interleaving operation using two banks, each having 2 ns random access cycle. 5 GHz operation has been demonstrated in a system prototype, which includes 6 instances of 1.1 Mb eDRAM macros, integrated with an array-built-in-self-test engine, phase-locked loop (PLL), and word-line high and word-line low voltage generators. The advantage of the 14 nm FinFET array over the 22 nm array was confirmed using direct tester control of the 1.1 Mb eDRAM macros integrated in 16 Mb inline monitor.
international solid-state circuits conference | 2015
Gregory J. Fredeman; Donald W. Plass; Abraham Mathews; Kenneth J. Reyer; Thomas J. Knips; Thomas R. Miller; Elizabeth L. Gerhard; Dinesh Kannambadi; Chris Paone; Dongho Lee; Daniel Rainey; Michael A. Sperling; Michael Whalen; Steven Burns
IBM introduced trench capacitor eDRAM into its high performance microprocessors beginning with 45nm and Power 7 [1] to provide a higher density cache without chip crossings. Whereas the 45 and 32nm designs employ a micro sense amplifier [2] and three-level bitline hierarchy, the design implemented for 22nm utilizes a higher gain sense amplifier and two-level bitline architecture that together provide significant reductions in area, latency, and power. This 22nm design style has been migrated into a 14nm FinFET [3] learning vehicle, complete with an ABIST engine, wordline charge pumps (VPP and VWL), and padcage interface circuitry.
Archive | 2005
James W. Dawson; Thomas J. Knips; Donald W. Plass; Kenneth J. Reyer
Archive | 2007
John D. Davis; Paul A. Bunce; Donald W. Plass; Kenneth J. Reyer
Archive | 2005
James W. Dawson; Thomas J. Knips; Donald W. Plass; Kenneth J. Reyer
Archive | 2005
James W. Dawson; Donald W. Plass; Kenneth J. Reyer
Archive | 2005
James W. Dawson; Paul A. Bunce; Donald W. Plass; Kenneth J. Reyer
Archive | 2003
Donald W. Plass; Kenneth J. Reyer
Archive | 2006
James W. Dawson; Donald W. Plass; Kenneth J. Reyer
Archive | 2005
James W. Dawson; Thomas J. Knips; Donald W. Plass; Kenneth J. Reyer