Concept
Rafraîchissement de la mémoire
Publications associées (118)
Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures
David Atienza Alonso, Giovanni Ansaloni, Alireza Amirshahi
The increasing complexity of transformer models in artificial intelligence expands their computational costs, memory usage, and energy consumption. Hardware acceleration tackles the ensuing challenges by designing processors and accelerators tailored for t ...
2024Multi-Ported GC-eDRAM Bitcell with Dynamic Port Configuration and Refresh Mechanism
Adam Shmuel Teman, Robert Giterman
Embedded memories occupy an increasingly dominant part of the area and power budgets of modern systems-on-chips (SoCs). Multi-ported embedded memories, commonly used by media SoCs and graphical processing units, occupy even more area and consume higher pow ...
MDPI2024A 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 INC2023AstriFlash: A Flash-Based System for Online Services
Babak Falsafi, Lei Yan, Siddharth Gupta, Mark Johnathon Sutherland, Yunho Oh
Modern datacenters host datasets in DRAM to offer large-scale online services with tight tail-latency requirements. Unfortunately, as DRAM is expensive and increasingly difficult to scale, datacenter operators are forced to consider denser storage technolo ...
2022Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge
David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina
The growing popularity of edge computing has fostered the development of diverse solutions to support Artificial Intelligence (AI) in energy-constrained devices. Nonetheless, comparatively few efforts have focused on the resiliency exhibited by AI workload ...
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), ...
EPFL2021Associativity-agnostic in-cache computing memory architecture optimized for multiplication
David Atienza Alonso, Marina Zapater Sancho, Marco Antonio Rios
A random access memory array including a plurality of local memory group ways, each local memory group way including, a plurality of local memory groups, each local memory group including, a memory column including a plurality of memory cells, a pair of lo ...
2021Preventing Use-After-Free Attacks with Fast Forward Allocation
Memory-unsafe languages are widely used to implement critical systems like kernels and browsers, leading to thousands of memory safety issues every year. A use-after-free bug is a temporal memory error where the program accidentally visits a freed memory l ...
USENIX ASSOC2021Path Replay Backpropagation: Differentiating Light Paths using Constant Memory and Linear Time
Wenzel Alban Jakob, Delio Aleardo Vicini, Sébastien Nicolas Speierer
Differentiable physically-based rendering has become an indispensable tool for solving inverse problems involving light. Most applications in this area jointly optimize a large set of scene parameters to minimize an objective function, in which case revers ...
ASSOC COMPUTING MACHINERY2021Rethinking 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 MACHINERY2021