Concept
Mnemonic
Related publications (24)
Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities
Alexandre Schmid, Lizeth Gonzalez Carabarin
Unstructured neural network pruning algorithms have achieved impressive compression ratios. However, the resulting-typically irregular-sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex control logic t ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Development of Visual Memory Capacity Following Early-Onset and Extended Blindness
Lukas Vogelsang, Marin Vogelsang
It is unknown whether visual memory capacity can develop if onset of pattern vision is delayed for several years following birth. We had an opportunity to address this question through our work with an unusual population of 12 congenitally blind individual ...
SAGE PUBLICATIONS INC2022Large-Scale Graph Processing on FPGAs with Caches for Thousands of Simultaneous Misses
Efficient large-scale graph processing is crucial to many disciplines. Yet, while graph algorithms naturally expose massive parallelism opportunities, their performance is limited by the memory system because of irregular memory accesses. State-of-the-art ...
IEEE COMPUTER SOC2021Miss-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), ...
EPFL2021Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions
The expeditious proliferation of Internet connectivity and the growing adoption of digital products have transformed various spheres of our everyday lives. This increased digitization of society has led to the emergence of new applications, which are deplo ...
EPFL2021Broccoli: Sprinkling Lightweight Vocabulary Learning into Everyday Information Diets
The learning of a new language remains to this date a cognitive task that requires considerable diligence and willpower, recent advances and tools notwithstanding. In this paper, we propose Broccoli, a new paradigm aimed at reducing the required effort by ...
ASSOC COMPUTING MACHINERY2020A review of CUDA optimization techniques and tools for structured grid computing
Recent advances in GPUs opened a new opportunity in harnessing their computing power for general purpose computing. CUDA, an extension to C programming, is developed for programming NVIDIA GPUs. However, efficiently programming GPUs using CUDA is very tedi ...
2020Engram Excitement
Engram cells can encode and switch between multiple mnemonic functions, but how they intrinsically do so is unknown. Pignatelli, Ryan, and colleagues show that upon memory recall, the engram's excitability is transiently elevated, allowing its bearer to ad ...
2019Atomic object reads for in-memory rack-scale computing
Babak Falsafi, Boris Robert Grot, Alexandros Daglis
A distributed memory system including a plurality of chips, a plurality of nodes that are distributed across the plurality of chips such that each node is comprised within a chip, each node includes a dedicated local memory and a processor core, and each l ...
2018Urban Scars: From invisible to visible – In Beijing and Mexico City
Yves Pedrazzini, Florence Graezer Bideau, Lesslie Astrid Herrera Quiroz
Memory is a process that works through the identification of social references within a spatial framework, without physical marks necessarily found in the tangible present. Nonetheless, these references subsist in representations from the past and continue ...
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