dc.contributor.author
Olgun, Ataberk
dc.date.accessioned
2026-02-11T22:55:31Z
dc.date.available
2026-02-11T22:55:31Z
dc.date.issued
2025-07-31
dc.identifier
Olgun, A. SORS: New DRAM architectures and FPGA-based frameworks to enable fundamentally better computing systems. A: Severo Ochoa Research Seminars at BSC. «10th Severo Ochoa Research Seminar Lectures at BSC, Barcelona, 2024-25». Barcelona: Barcelona Supercomputing Center, 2025, p. 183-185.
dc.identifier
https://hdl.handle.net/2117/454503
dc.identifier.uri
http://hdl.handle.net/2117/454503
dc.description.abstract
DRAM-based main memory is a critical component in modern
computing systems. Data movement from the DRAM to the CPU incurs
long latency and consumes a significant amount of energy. These costs
are often exacerbated by the fact that much of the data brought into the
caches is not reused by the CPU or accelerators, providing little benefit
in return for the high latency and energy cost, partly due to the coarsegrained
nature of DRAM data transfers and DRAM row activation.
In the first part of this talk, we will describe a new, high-throughput,
energy-efficient, and low-cost DRAM architecture, Sectored DRAM,
that mitigates the excessive energy consumption of coarse-grained
DRAM data transfers and row activation. Compared to a system with
coarse-grained DRAM, Sectored DRAM reduces the DRAM energy
consumption while improving performance, enabling significant
system-wide energy savings.
In the second part of the talk, we will introduce two new FPGA-based
frameworks, PiDRAM and EasyDRAM. They can be used to develop
real system prototypes with commodity DRAM chips, and showcase
real, accurate system performance benefits for ideas that aim to tackle
the data movement bottleneck. For example, Processing-in/Near-
Memory (PiM/PnM), retention-aware intelligent refresh, and DRAM
access latency reduction. Using EasyDRAM, we show that in-DRAM
bulk data copy operations in real DRAM chips can improve system
performance for copy-heavy workloads by 15X. We also describe the
MetaSys framework that enables rapid implementation and evaluation
of diverse hardware-software cooperative techniques in real hardware.
Finally, we will describe the DRAM Bender infrastructure that enabled
many discoveries into the robustness characteristics and the
computation capability of real DRAM chips. We describe our ongoing
work in BSC adapting DRAM Bender to provide support for testing
DRAM chips in BSC’s MEEP cluster as part of the Severo Ochoa
Mobility Program. We show preliminary data on high bandwidth
memory reliability characteristics gathered using this infrastructure at
BSC.
dc.format
application/pdf
dc.publisher
Barcelona Supercomputing Center
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject
High performance computing
dc.subject
Càlcul intensiu (Informàtica)
dc.title
SORS: New DRAM architectures and FPGA-based frameworks to enable fundamentally better computing systems
dc.type
Conference report