Publications associées à Heterogeneous System Architecture

GPU-accelerated data management under the test of time

Anastasia Ailamaki, Periklis Chrysogelos, Angelos Christos Anadiotis, Panagiotis Sioulas, Syed Mohammad Aunn Raza

GPUs are becoming increasingly popular in large scale data center installations due to their strong, embarrassingly parallel, processing capabilities. Data management systems are riding the wave by using GPUs to accelerate query execution, mainly for analy ...

2020

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Felix Schürmann, James Gonzalo King, Michael Lee Hines, Pramod Shivaji Kumbhar, Jorge Blanco Alonso, Omar Awile, Liam Roger George Keegan

Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit domain knowledge for the generation of more efficient code on target architectures. Here, we describe a new c ...

Springer2020

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

Anastasia Ailamaki, Periklis Chrysogelos, Panagiotis Sioulas

In order to improve their power efficiency and computational capacity, modern servers are adopting hardware accelerators, especially GPUs. Modern analytical DMBS engines have been highly optimized for multi-core multi-CPU query execution, but lack the nece ...

2019

Snap-On User-Space Manager for Dynamically Reconfigurable System-on-Chips

Paolo Ienne, Andrea Guerrieri, Sahand Kashani

Due to increased embedded processing requirements, modern SoCs are becoming heterogeneous computing platforms by combining traditional processing units with custom reconfigurable hardware accelerators (HAs) on an FPGA fabric. However, efficiently managing ...

2019

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

Anastasia Ailamaki, Periklis Chrysogelos, Manolis Karpathiotakis, Raja Appuswamy

Modern server hardware is increasingly heterogeneous as hardware accelerators, such as GPUs, are used together with multicore CPUs to meet the computational demands of modern data analytics workloads. Unfortunately, query parallelization techniques used by ...

2019

Hardware-conscious Hash-Joins on GPUs

Anastasia Ailamaki, Periklis Chrysogelos, Panagiotis Sioulas, Manolis Karpathiotakis, Raja Appuswamy

Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...

IEEE2019

Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures

José Pedro Rebelo Ferreira Marques, Gabriel Falcao Paiva Fernandes

The convolutional neural networks (CNNs) have proven to be powerful classification tools in tasks that range from check reading to medical diagnosis, reaching close to human perception, and in some cases surpassing it. However, the problems to solve are be ...

TAYLOR & FRANCIS INC2018

Endurance Management for Resistive Logic-In-Memory Computing Architectures

Giovanni De Micheli, Mathias Soeken, Pierre-Emmanuel Julien Marc Gaillardon

Resistive Random Access Memory (RRAM) is a promising non-volatile memory technology which enables modern in-memory computing architectures. Although RRAMs are known to be superior to conventional memories in many aspects, they suffer from a low writ ...

Ieee2017

ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data

Anastasia Ailamaki, Manolis Karpathiotakis, Tahir Azim

As data continues to be generated at exponentially growing rates in heterogeneous formats, fast analytics to extract meaningful information is becoming increasingly important. Systems widely use in-memory caching as one of their primary techniques to speed ...

2017

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Heterogeneous System Architecture

GPU-accelerated data management under the test of time

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

Snap-On User-Space Manager for Dynamically Reconfigurable System-on-Chips

GPU-Accelerated Finite Volume Particle Simulation of Free Jet Deviation by Multi-jet Rotating Pelton Runner

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

Hardware-conscious Hash-Joins on GPUs

Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures

Endurance Management for Resistive Logic-In-Memory Computing Architectures

ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data

Graph Chatbot

Chattez avec Graph Search

Hardware-conscious Query Processing in GPU-accelerated Analytical Engines

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines

Distributed Learning of CNNs on Heterogeneous CPU/GPU Architectures

Endurance Management for Resistive Logic-In-Memory Computing Architectures

Snap-On User-Space Manager for Dynamically Reconfigurable System-on-Chips

GPU-Accelerated Finite Volume Particle Simulation of Free Jet Deviation by Multi-jet Rotating Pelton Runner

ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data

GPU-accelerated data management under the test of time

Hardware-conscious Hash-Joins on GPUs