Publication

Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores

Related publications (26)

Large-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 SOC2021

Engram cell connectivity: an evolving substrate for information storage

Maurizio Ferdinando Pezzoli, Siddhartha Sen

Understanding memory requires an explanation for how information can be stored in the brain in a stable state. The change in the brain that accounts for a given memory is referred to as an engram. In recent years, the term engram has been operationalized a ...

CURRENT BIOLOGY LTD2021

Miss-Optimized Memory Systems: Turning Thousands of Outstanding Misses into Reuse Opportunities

Mikhail Asiatici

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), ...

EPFL2021

The influence of anodal transcranial direct current stimulation over the right auditory cortex on interference effects in memory for melodies

Steffen Alexander Herff

The study investigates how transcranial direct current stimulation (tDCS) over the auditory cortex (AC) modulates memory for melodies under different noise conditions, whilst also considering cumulative disruptive interference effects. Forty-one participan ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

Rethinking Software Runtimes for Disaggregated Memory

Sanidhya Kashyap, Ivan Puddu

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

In Search of Lost Bandwidth: Extensive Reordering of DRAM Accesses on FPGA

Paolo Ienne, Mikhail Asiatici, Gabor Andras Csordas

For efficient acceleration on FPGA, it is essential for external memory to match the throughput of the processing pipelines. However, the usable DRAM bandwidth decreases significantly if the access pattern causes frequent row conflicts. Memory controllers ...

IEEE COMPUTER SOC2019

Mitigating Load Imbalance in Distributed Data Serving with Rack-Scale Memory Pooling

Babak Falsafi, Edouard Bugnion, Boris Robert Grot, Alexandros Daglis, Stanko Novakovic, Dmitrii Ustiugov

To provide low-latency and high-throughput guarantees, most large key-value stores keep the data in the memory of many servers. Despite the natural parallelism across lookups, the load imbalance, introduced by heavy skew in the popularity distribution of k ...

2019

Underlying mechanisms of episodic autobiographical memory and self-consciousness

Lucie Bréchet

Cognitive neuroscience has been examining consciousness associated with the subject, that is the self of the conscious experience and its related multisensory processing of bodily signals, the so-called bodily self-consciousness. Different line of research ...

EPFL2019

Collective Memory and Resistance: Visual explorations in the Historic Centre and Films of Mexico City

Lesslie Astrid Herrera Quiroz

Today, institutionalised discourses surrounding heritage have social and physical impacts, with the potential to lead to a break between inhabitants' collective memory of popular neighbourhoods, and their transforming territories. In this context, the acti ...

EPFL2019

Rack-Scale Memory Pooling for Datacenters

Stanko Novakovic

The rise of web-scale services has led to a staggering growth in user data on the Internet. To transform such a vast raw data into valuable information for the user and provide quality assurances, it is important to minimize access latency and enable in-me ...

EPFL2017