Pinar Korkmaz

发表

Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verication Through Simulations

Pinar Korkmaz, Bilge E. S. Akgul, Krishna V. Palem, 2005 .

Probabilistic system-on-a-chip architectures

Krishna V. Palem, Pinar Korkmaz, Bilge E. S. Akgul, 2007, TODE.

Probabilistic CMOS (PCMOS) in the nanoelectronics regime

Pinar Korkmaz, Pinar Korkmaz, 2007 .

Ultra-low energy computing with noise: Energy performance probability

Krishna V. Palem, Pinar Korkmaz, Bilge E. S. Akgul, 2006, IEEE Computer Society Annual Symposium on Emerging VLSI Technologies and Architectures (ISVLSI'06).

Design space optimization of embedded memory systems via data remapping

Krishna V. Palem, Pinar Korkmaz, Kiran Puttaswamy, 2002, LCTES/SCOPES '02.

Ultra Low-energy Computing via Probabilistic Algorithms and Devices: CMOS Device Primitives and the Energy-Probability Relationship

Krishna V. Palem, Pinar Korkmaz, Suresh Cheemavalagu, 2004 .

ENERGY MODELING OF A PROCESSOR CORE USING SYNOPSYS AND OF MEMORY HIERARCHY USING KAMBLE AND GHOSE MODEL

Pinar Korkmaz, Kiran Puttaswamy, Vincent J. Mooney, 2002 .

Analysis of probability and energy of nanometre CMOS circuits in presence of noise

Pinar Korkmaz, Bilge E. S. Akgul, Krishna V. Palem, 2007 .

The emerging power crisis in embedded processors: what can a poor compiler do?

Krishna V. Palem, Weng-Fai Wong, Pinar Korkmaz, 2001, CASES '01.

Energy, Performance, and Probability Tradeoffs for Energy-Efficient Probabilistic CMOS Circuits

Krishna V. Palem, Pinar Korkmaz, Bilge E. S. Akgul, 2008, IEEE Transactions on Circuits and Systems I: Regular Papers.

A Review on Probabilistic CMOS (PCMOS) Technology: From Device Characteristics to Ultra-Low-Energy SOC Architectures

Pinar Korkmaz, Bilge E. S. Akgul, Krishna V. Palem, 2008, High Performance Embedded Computing Handbook.

Probabilistic CMOS Technology: A Survey and Future Directions

Krishna V. Palem, Pinar Korkmaz, Bilge E. S. Akgul, 2006, 2006 IFIP International Conference on Very Large Scale Integration.

Advocating Noise as an Agent for Ultra-Low Energy Computing: Probabilistic Complementary Metal-Oxide-Semiconductor Devices and Their Characteristics

Pinar Korkmaz, Bilge E. S. Akgul, Krishna V. Palem, 2006 .

Choice Predictor for Free

Hsien-Hsin S. Lee, Pinar Korkmaz, Mongkol Ekpanyapong, 2004, Asia-Pacific Computer Systems Architecture Conference.

Ultra-Efficient (Embedded) SOC Architectures based on Probabilistic CMOS (PCMOS) Technology

Krishna V. Palem, Pinar Korkmaz, Bilge E. S. Akgul, 2006, Proceedings of the Design Automation & Test in Europe Conference.

On the Way to a Sustainable European Energy System: Setting Up an Integrated Assessment Toolbox with TIMES PanEU as the Key Component

Pinar Korkmaz, Ulrich Fahl, Markus Blesl, 2020 .

Power-performance trade-offs in second level memory used by an ARM-like RISC architecture

Abhijit Chatterjee, Krishna V. Palem, Weng-Fai Wong, 2002 .

Power Optimization of Embedded Memory Systems via Data Remapping

Krishna V. Palem, Pinar Korkmaz, Rodric Rabbah, 2002 .

Probabilistic CMOS ( PCMOS ) Logic for Nanoscale Circuit Design

Zhi-Hui Kong, Krishna V. Palem, Pinar Korkmaz, 2009 .

Realizing Ultra-low Energy Application Specific SoC Architectures through Novel Probabilistic CMOS (PCMOS) Technology

Krishna V. Palem, Pinar Korkmaz, Bilge E. S. Akgul, 2005 .