Naif Tarafdar

Naif Tarafdar

PhD Candidate

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

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Blog Post number 1

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portfolio

publications

Multi-query stream processing on FPGAs

Published in IEEE 28th International Conference on Data Engineering, 2012

We present an efficient multi-query event stream platform to support query processing over high-frequency event streams. Our platform is built over reConference Paperigurable hardware – FPGAs – to achieve line-rate multi-query processing by exploiting unprecedented degrees of parallelism and potential for pipelining, only available through custom-built, application-specific and low-level logic design.

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Enabling network function virtualization over heterogeneous resources

Published in 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS), 2017

The economies of scale afforded by cloud computing has been a driving force behind the rapid development and deployment of new cloud-based network applications and services. With the massive growth of IoT devices, we expect a sharp rise in the volume of traffic seen going to and coming from cloud datacenters, which will continue to grow over the next several years…

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Designing for FPGAs in the Cloud

Published in IEEE Design & Test, 2018

This article proposes a flow to provision FPGAs from a pool of cloud resources. The proposed flow can lead to more efficient sharing of limited FPGA resources by enabling FPGA development and simulation in virtual machines.

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Galapagos: A Full Stack Approach to FPGA Integration in the Cloud

Published in IEEE Micro, 2018

Field-programmable gate arrays (FPGAs) have shown to be quite beneficial in the cloud due to their energy-efficient application-specific acceleration. These accelerators have always been difficult to use and at cloud scale, the difficulty of managing these devices scales accordingly…

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Building the Infrastructure for Deploying FPGAs in The Cloud

Published in Springer: Hardware Accelerators in Data Centers, 2019

At the University of Toronto, we are building the infrastructure required to support the deployment of FPGAs at a large scale in a data centre. We consider FPGAs to be peers to the CPU-based servers rather than using them as accelerator slaves, which is the more common view. The goal is to enable the allocation and use of the FPGAs as computing resources in the same way that current servers are provisioned in a data centre…

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A Modular Heterogeneous Stack for Deploying FPGAs and CPUs in the Data Center

Published in Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

In this work we present a heterogeneous deployment stack, called Galapagos, that includes the abstraction of individual nodes (FPGAs and CPUs), the communication protocols between nodes and the orchestration and connection of these nodes into clusters. The stack we create is also highly modular, allowing users to explore a design space in the implementation of their cluster such as different network protocols or communication layers. The communication layer we have currently implemented within our hardware stack, called HUMboldt, handles heterogeneous communication between multiple FPGAs and CPUs. We implement HUMboldt using High-Level Synthesis (HLS) to ensure functional portability of communicatingkernels, allowing us to prototype hardware kernels in software. Our results have shown that our modular approach to this heterogeneous deployment stack has introduced very little area and latency overhead in the FPGAs and can still perform at line-rate, bottlenecked solely by the network links connecting the nodes. Our results also highlight the scalability of our design as our performance remains limited by the network links when the cluster size increases.

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talks

Galapagos: A Stacked Approach for Hardware Integration in the Data Center

Published:

Field-programmable gate arrays (FPGAs) have shown to be quite beneficial in the cloud due to their energy-efficient application-specific acceleration. These accelerators have always been difficult to use and at cloud scale, the difficulty of managing these devices scales accordingly. We approach the challenge of managing large FPGA accelerator clusters in the cloud using abstraction layers and a new hardware stack that we call Galapagos. The hardware stack abstracts low-level details while providing flexibility in the amount of low-level access users require to reach their performance needs.

Galapagos: A Stacked Approach for Hardware Integration in the Data Center

Published:

Field-programmable gate arrays (FPGAs) have shown to be quite beneficial in the cloud due to their energy-efficient application-specific acceleration. These accelerators have always been difficult to use and at cloud scale, the difficulty of managing these devices scales accordingly. We approach the challenge of managing large FPGA accelerator clusters in the cloud using abstraction layers and a new hardware stack that we call Galapagos. The hardware stack abstracts low-level details while providing flexibility in the amount of low-level access users require to reach their performance needs.

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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