Boris Robert Grot

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Related publications (28)

Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

Edouard Bugnion, Evangelos Marios Kogias, Boris Robert Grot, Dmitrii Ustiugov

Serverless computing has seen rapid adoption due to its high scalability and flexible, pay-as-you-go billing model. In serverless, developers structure their services as a collection of functions, sporadically invoked by various events like clicks. High in ...

2021

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

Prefetched Address Translation

Edouard Bugnion, Boris Robert Grot, Dmitrii Ustiugov

With explosive growth in dataset sizes and increasing machine memory capacities, per-application memory footprints are commonly reaching into hundreds of GBs. Such huge datasets pressure the TLB, resulting in frequent misses that must be resolved through a ...

ASSOC COMPUTING MACHINERY2019

Stretch: Balancing QoS and Throughput for Colocated Server Workloads on SMT Cores

Boris Robert Grot, Siddharth Gupta

In a drive to maximize resource utilization, today's datacenters are moving to colocation of latency-sensitive and batch workloads on the same server. State-of-the-art deployments, such as those at Google, colocate such diverse workloads even on a single S ...

IEEE2019

Atomic 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 ...

2018

The Mondrian Data Engine

Babak Falsafi, Boris Robert Grot, Alexandros Daglis, Javier Picorel Obando, Mario Paulo Drumond Lages De Oliveira, Dmitrii Ustiugov, Dionysios Pnevmatikatos, Nooshin Sadat Mirzadeh

The increasing demand for extracting value out of ever-growing data poses an ongoing challenge to system designers, a task only made trickier by the end of Dennard scaling. As the performance density of traditional CPU-centric architectures stagnates, adva ...

2017

Fat Caches For Scale-Out Servers

Babak Falsafi, Boris Robert Grot, Stavros Volos, Dorde Jevdic

The authors propose a high-capacity cache architecture that leverages emerging high-bandwidth memory modules. High-capacity caches capture the secondary data working sets of scale-out workloads while uncovering significant spatiotemporal locality across da ...

Institute of Electrical and Electronics Engineers2017

Unified prefetching into instruction cache and branch target buffer

Babak Falsafi, Boris Robert Grot, Ilknur Cansu Kaynak

A system and method of coupling a Branch Target Buffer (BTB) content of a BTB with an instruction cache content of an instruction cache. The method includes: tagging a plurality of target buffer entries that belong to branches within a same instruction blo ...

2017

The Case for RackOut: Scalable Data Serving Using Rack-Scale Systems

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

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 ...

2016

An Analysis of Load Imbalance in Scale-out Data Serving

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

Despite the natural parallelism across lookups, performance of distributed key-value stores is often limited due to load imbalance induced by heavy skew in the popularity distribution of the dataset. To avoid violating service level objectives expressed in ...

2016

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