Publication
Gain-Cell Embedded DRAMs: Modeling and Design Space
Publications associées (51)
EdgeAI-Aware Design of In-Memory Computing Architectures
Driven by the demand for real-time processing and the need to minimize latency in AI algorithms, edge computing has experienced remarkable progress. Decision-making AI applications stand out for their heavy reliance on data-centric operations, predominantl ...
EPFL2024Rebooting Virtual Memory with Midgard
Virtual Memory (VM) is a critical programming abstraction that is widely used in various modern computing platforms. With the rise of datacenter computing and birth of planet-scale online services, the semantic and capacity requirements from memory have ev ...
EPFL2023A 128-kbit GC-eDRAM With Negative Boosted Bootstrap Driver for 11.3x Lower-Refresh Frequency at a 2.5% Area Overhead in 28-nm FD-SOI
Andreas Peter Burg, Robert Giterman, Halil Andac Yigit, Emmanuel Nieto Casarrubias
Gain-cell embedded DRAM (GC-eDRAM) is a high-density logic-compatible alternative to conventional static random-access memory (SRAM) and embedded DRAM (eDRAM). However, GC-eDRAM suffers from a reduced data retention time (DRT) at deeply-scaled process node ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Method for reading and writing unreliable memories and a corresponding memory controller device and memory
Andreas Peter Burg, Reza Ghanaatian Jahromi
A method of accessing a memory space of a memory device with a decoder, the memory space having faults, including the steps of performing a memory access operation by an electronic device to a access a logical memory space of the memory device, and randomi ...
2022Miss-Optimized Memory Systems: Turning Thousands of Outstanding Misses into Reuse Opportunities
Even if Dennard scaling came to an end fifteen years ago, Moore's law kept fueling an exponential growth in compute performance through increased parallelization. However, the performance of memory and, in particular, Dynamic Random Access Memory (DRAM), ...
EPFL2021Rethinking Software Runtimes for Disaggregated Memory
Disaggregated memory can address resource provisioning inefficiencies in current datacenters. Multiple software runtimes for disaggregated memory have been proposed in an attempt to make disaggregated memory practical. These systems rely on the virtual mem ...
ASSOC COMPUTING MACHINERY2021Gain-Cell Embedded DRAMs: Modeling and Design Space
Andreas Peter Burg, Adam Shmuel Teman, Robert Giterman, Andrea Bonetti
Among the different types of dynamic random-access memories (DRAMs), gain-cell embedded DRAM (GC-eDRAM) is a compact, low-power, and CMOS-compatible alternative to conventional static random-access memory (SRAM). GC-eDRAM achieves high memory density, as i ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020SPARTA: A Divide and Conquer Approach to Address Translation for Accelerators
Babak Falsafi, Javier Picorel Obando, Abhishek Bhattacharjee
Virtual memory (VM) is critical to the usability and programmability of hardware accelerators. Unfortunately, implementing accelerator VM efficiently is challenging because the area and power constraints make it difficult to employ the large multi-level TL ...
2020Replica Bit-Line Technique for Internal Refresh in Logic-Compatible Gain-Cell Embedded DRAM
Embedded memories, mostly implemented with static random access memory (SRAM), dominate the area and power of integrated circuits. Gain-cell embedded DRAM (GC-eDRAM) is an alternative to SRAM due to its high density, low power consumption, and two-ported f ...
ELSEVIER SCI LTD2020Access pattern based optimization of memory access
Anastasia Ailamaki, Georgios Psaropoulos
A method for optimizing memory access for database operations is provided. The method may include identifying an access pattern associated with a database operation. The access pattern may include data required to perform the database operation. One or mor ...
2020