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Antonio Franques

dblp:163/6108 · DBLP profile ↗
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7ranked-venue papers
2as first author
3since 2021 · last 2021
0000-0002-6449-2062ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 5 · 2 first-author · 2 since 2021Computer networks · 2 · 1 since 2021Software engineering, systems software and programming languages · 2 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
4 papers
Interconnection networks and networks-on-chip · 42% Memory systems · 26% Distributed systems · 13%
Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 9 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip › network-on-chip design
wireless network-on-chip
1.032021
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning · NSDI 2021
Replica: A Wireless Manycore for Communication-Intensive and Approximate Data · ASPLOS 2019
WiDir: A Wireless-Enabled Directory Cache Coherence Protocol · HPCA 2021
Memory systems
cache coherence
0.512021
WiDir: A Wireless-Enabled Directory Cache Coherence Protocol · HPCA 2021
Memory systems › cache coherence
directory-based coherence
0.512021
WiDir: A Wireless-Enabled Directory Cache Coherence Protocol · HPCA 2021
Distributed systems › communication protocols
protocol design
0.512021
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning · NSDI 2021
Processor architecture and microarchitecture
many-core architecture
0.412019
Replica: A Wireless Manycore for Communication-Intensive and Approximate Data · ASPLOS 2019
Parallel and multicore computing › parallel computing › parallel communication
shared-memory communication
0.412019
Replica: A Wireless Manycore for Communication-Intensive and Approximate Data · ASPLOS 2019
Interconnection networks and networks-on-chip › interconnect architecture
reconfigurable interconnect
0.112021
One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning · NSDI 2021
Physical-layer communications
channel modeling
0.112020
Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication · IEEE Trans. Commun. 2020
Physical-layer communications › channel modeling
path loss and delay spread
0.112020
Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication · IEEE Trans. Commun. 2020

Methods — techniques the papers use, named apart from their topics

physical-layer adaptation · 0.9channel measurement · 0.9simulation · 0.5deep reinforcement learning · 0.5selective message dropping · 0.4adaptive wireless protocol · 0.4
YearPublicationVenuePosition
2021 Fuzzy-Token: An Adaptive MAC Protocol for Wireless-Enabled Manycores
abstract
Recent computer architecture trends herald the arrival of manycores with over one hundred cores on a single chip. In this context, traditional on-chip networks do not scale well in latency or energy consumption, leading to bottlenecks in the execution. The Wireless Network-on-Chip (WNoC) paradigm holds considerable promise for the implementation of on-chip networks that will enable such highly-parallel manycores. However, one of the main challenges in WNoCs is the design of mechanisms that provide fast and efficient access to the wireless channel, while adapting to the changing traffic patterns within and across applications. Existing approaches are either slow or complicated, and do not provide the required adaptivity. In this paper, we propose Fuzzy Token,a simple WNoC protocol that leverages the unique properties of the on-chip scenario to deliver efficient and low-latency access to the wireless channel irrespective of the application characteristics. We substantiate our claim via simulations with a synthetic traffic suite and with real application traces. Fuzzy Tokenconsistently provides one of the lowest packet latencies among the evaluated WNoC MAC protocols. On average, the packet latency in Fuzzy Token is 4.4 × and 2.6 × lower than in a state-of-the art contention-based WNoC MAC protocol and in a token-passing protocol, respectively.
Antonio Franques, Sergi Abadal, Haitham Hassanieh, Josep Torrellas
DATE1
2021 WiDir: A Wireless-Enabled Directory Cache Coherence Protocol
abstract
As the core count in shared-memory manycores keeps increasing, it is becoming increasingly harder to design cache-coherence protocols that deliver high performance without an inordinate increase in complexity and cost. In particular, sharing patterns where a group of cores frequently reads and writes a shared variable are hard to support efficiently. Hence, programmers end up tuning their applications to avoid these patterns, hurting the programmability of shared memory. To address this problem, this paper uses the recently-proposed on-chip wireless network technology to augment a conventional invalidation-based directory cache coherence protocol. We call the resulting protocol WiDir. WiDir seamlessly transitions between wired and wireless coherence transactions for a given line based on the access patterns in a programmer-transparent manner. In this paper, we describe the protocol transitions in detail. Further, an evaluation using SPLASH and PARSEC applications shows that WiDir substantially reduces the memory stall time of applications. As a result, for 64-core runs, WiDir reduces the execution time of applications by an average of 22% compared to a conventional directory protocol. Moreover, WiDir is more scalable. These benefits are obtained with a very modest power cost.
Antonio Franques, Apostolos Kokolis, Sergi Abadal, Vimuth Fernando, Sasa Misailovic, Josep Torrellas
HPCA1
2021 One Protocol to Rule Them All: Wireless Network-on-Chip using Deep Reinforcement Learning
Suraj Jog, Zikun Liu 0002, Antonio Franques, Vimuth Fernando, Sergi Abadal, Josep Torrellas, Haitham Hassanieh
NSDI3
2020 Engineer the Channel and Adapt to it: Enabling Wireless Intra-Chip Communication
abstract
Ubiquitous multicore processors nowadays rely on an integrated packet-switched network for cores to exchange and share data. The performance of these intra-chip networks is a key determinant of the processor speed and, at high core counts, becomes an important bottleneck due to scalability issues. To address this, several works propose the use of mm-wave wireless interconnects for intra-chip communication and demonstrate that, thanks to their low-latency broadcast and system-level flexibility, this new paradigm could break the scalability barriers of current multicore architectures. However, these same works assume 10+ Gb/s speeds and efficiencies close to 1 pJ/bit without a proper understanding of the wireless intra-chip channel. This paper first demonstrates that such assumptions do not hold in the context of commercial chips by evaluating losses and dispersion in them. Then, we leverage the system's monolithic nature to engineer the channel, this is, to optimize its frequency response by carefully choosing the chip package dimensions. Finally, we exploit the static nature of the channel to adapt to it, pushing efficiency-speed limits with simple tweaks at the physical layer. Our methods reduce the path loss and delay spread of a simulated commercial chip by 47 dB and $7.3\times $ , respectively, enabling intra-chip wireless communications over 10 Gb/s and only 3.1 dB away from the dispersion-free case.
Xavier Timoneda, Sergi Abadal, Antonio Franques, Dionysios Manessis, Jin Zhou 0001, Josep Torrellas, Eduard Alarcón, Albert Cabellos-Aparicio
IEEE Trans. Commun.3
2019 Replica: A Wireless Manycore for Communication-Intensive and Approximate Data
abstract
Data access patterns that involve fine-grained sharing, multicasts, or reductions have proved to be hard to scale in shared-memory platforms. Recently, wireless on-chip communication has been proposed as a solution to this problem, but a previous architecture has used it only to speed-up synchronization. An intriguing question is whether wireless communication can be widely effective for ordinary shared data. This paper presents Replica, a manycore that uses wireless communication for communication-intensive ordinary data. To deliver high performance, Replica supports an adaptive wireless protocol and selective message dropping. We describe the computational patterns that leverage wireless communication, programming techniques to restructure applications, and tools that help with automation. Our results show that wireless communication is effective for ordinary data. For 64 cores, Replica obtains a mean speed-up of 1.76x over a conventional machine. The mean speed-up reaches 1.89x if approximate-computing transformations are enabled. The average energy consumption is substantially reduced by 34% (or 38% with approximate transformations), and the area increases only modestly.
Vimuth Fernando, Antonio Franques, Sergi Abadal, Sasa Misailovic, Josep Torrellas
ASPLOS2
2019 Opportunistic Beamforming in Wireless Network-on-Chip
abstract
Wireless Network-on-Chip (WNoC) has emerged as a promising alternative to conventional interconnect fabrics at the chip scale. Since WNoCs may imply the close integration of antennas, one of the salient challenges in this scenario is the management of coupling and interferences. This paper, instead of combating coupling, aims to take advantage of close integration to create arrays within a WNoC. The proposed solution is opportunistic as it attempts to exploit the existing infrastructure to build a simple reconfigurable beamforming scheme. Full-wave simulations show that, despite the effects of lossy silicon and nearby antennas, within-package arrays achieve moderate gains and beamwidths below 90°, a figure which is already relevant in the multiprocessor context.
Sergi Abadal, Adrián Marruedo, Antonio Franques, Hamidreza Taghvaee, Albert Cabellos-Aparicio, Jin Zhou 0001, Josep Torrellas, Eduard Alarcón
ISCAS3
2018 Millimeter-Wave Propagation within a Computer Chip Package
abstract
Wireless Network-on-Chip (WNoC) appears as a promising alternative to conventional interconnect fabrics for chip-scale communications. The WNoC paradigm has been extensively analyzed from the physical, network and architecture perspectives assuming mmWave band operation. However, there has not been a comprehensive study at this band for realistic chip packages and, thus, the characteristics of such wireless channel remain not fully understood. This work addresses this issue by accurately modeling a flip-chip package and investigating the wave propagation inside it. Through parametric studies, a locally optimal configuration for 60 GHz WNoC is obtained, showing that chip-wide attenuation below 32.6 dB could be achieved with standard processes. Finally, the applicability of the methodology is discussed for higher bands and other integrated environments such as a Software-Defined Metamaterial (SDM).
Xavier Timoneda, Sergi Abadal, Albert Cabellos-Aparicio, Dionysios Manessis, Jin Zhou 0001, Antonio Franques, Josep Torrellas, Eduard Alarcón
ISCAS6