Publications by Boris Robert Grot

Benchmarking, Analysis, and Optimization of Serverless Function Snapshots

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

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

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

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, Stavros Volos, Dorde Jevdic, Boris Robert Grot

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, Ilknur Cansu Kaynak, Boris Robert Grot

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

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

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

SABRes: Atomic Object Reads for In-Memory Rack-Scale Computing

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

Modern in-memory services rely on large distributed object stores to achieve the high scalability essential to service thousands of requests concurrently. The independent and unpredictable nature of incoming requests results in random accesses to the objec ...

Ieee2016

Scale-out non-uniform memory access

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

A computing system that uses a Scale-Out NUMA (“soNUMA”) architecture, programming model, and/or communication protocol provides for low-latency, distributed in-memory processing. Using soNUMA, a programming model is layered directly on top of a NUMA memor ...

2015

Asynchronous memory access chaining

Babak Falsafi, Yusuf Onur Koçberber, Boris Robert Grot

In-memory databases rely on pointer-intensive data structures to quickly locate data in memory. A single lookup operation in such data structures often exhibits long-latency memory stalls due to dependent pointer dereferences. Hiding the memory latency by ...

2015

Confluence: unified instruction supply for scale-out servers

Babak Falsafi, Ilknur Cansu Kaynak, Boris Robert Grot

Multi-megabyte instruction working sets of server workloads defy the capacities of latency-critical instruction-supply components of a core; the instruction cache (L1-I) and the branch target buffer (BTB). Recent work has proposed dedicated prefetching tec ...

ACM Press2015

Manycore Network Interfaces for In-Memory Rack-Scale Computing

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

Datacenter operators rely on low-cost, high-density technologies to maximize throughput for data-intensive services with tight tail latencies. In-memory rack-scale computing is emerging as a promising paradigm in scale-out datacenters capitalizing on commo ...

2015

Network-on-chip using request and reply trees for low-latency processor-memory communication

Babak Falsafi, Boris Robert Grot

A Network-On-Chip (NOC) organization comprises a die having a cache area and a core area, a plurality of core tiles arranged in the core area in a plurality of subsets, at least one cache memory bank arranged in the cache area, whereby the at least one cac ...

2014

FADE: A Programmable Filtering Accelerator for Instruction-Grain Monitoring

Babak Falsafi, Sotiria Fytraki, Yusuf Onur Koçberber, Evangelos Vlachos, Boris Robert Grot

Instruction-grain monitoring is a powerful approach that enables a wide spectrum of bug-finding tools. As existing software approaches incur prohibitive runtime overhead, researchers have focused on hardware support for instruction-grain monitoring. A recu ...

2014

Scale-Out NUMA

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

Emerging datacenter applications operate on vast datasets that are kept in DRAM to minimize latency. The large number of servers needed to accommodate this massive memory footprint requires frequent server-to-server communication in applications such as ke ...

2014

Big Data

Babak Falsafi, Boris Robert Grot

This introduction to the special issue discusses the opportunities and challenges in system design presented by big data and gives an overview of the articles in this issue. ...

Ieee Computer Soc2014

BuMP: Bulk Memory Access Prediction and Streaming

Babak Falsafi, Stavros Volos, Javier Picorel Obando, Boris Robert Grot

With the end of Dennard scaling, server power has emerged as the limiting factor in the quest for more capable datacenters. Without the benefit of supply voltage scaling, it is essential to lower the energy per operation to improve server efficiency. As th ...

2014