130 citations · 321 across the 14 of their papers we have counts for
6 papers · 1 filter
TuRaN: True Random Number Generation Using Supply Voltage Underscaling in SRAMs
İsmail Emir Yüksel, Ataberk Olgun, Behzad Salami +6
Prior works propose SRAM-based TRNGs that extract entropy from SRAM arrays. SRAM arrays are widely used in a majority of specialized or general-purpose chips that perform the compu…
DRAM Bender: An Extensible and Versatile FPGA-based Infrastructure to Easily Test State-of-the-art DRAM Chips
Ataberk Olgun, Hasan Hassan, A. Giray Yağlıkçı +6
To understand and improve DRAM performance, reliability, security and energy efficiency, prior works study characteristics of commodity DRAM chips. Unfortunately, state-of-the-art…
HiRA: Hidden Row Activation for Reducing Refresh Latency of Off-the-Shelf DRAM Chips
Abdullah Giray Yağlıkçı, Ataberk Olgun, Minesh Patel +5
DRAM is the building block of modern main memory systems. DRAM cells must be periodically refreshed to prevent data loss. Refresh operations degrade system performance by interferi…
Sectored DRAM: A Practical Energy-Efficient and High-Performance Fine-Grained DRAM Architecture
Ataberk Olgun, F. Nisa Bostanci, Geraldo F. Oliveira +6
We propose Sectored DRAM, a new, low-overhead DRAM substrate that reduces wasted energy by enabling fine-grained DRAM data transfers and DRAM row activation. Sectored DRAM leverage…
PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques
Ataberk Olgun, Juan Gomez Luna, Konstantinos Kanellopoulos +4
DRAM-based main memory is used in nearly all computing systems as a major component. One way of overcoming the main memory bottleneck is to move computation near memory, a paradigm…
DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators
F. Nisa Bostancı, Ataberk Olgun, Lois Orosa +5
Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. T…