Publications associées à AMD Fusion

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Darong Huang, Qunyou Liu

The increasing demand for computing power and the emergence of heterogeneous computing architectures have driven the exploration of innovative techniques to address current limitations in both the compute and memory subsystems. One such solution is the use ...

2024

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Aurélien François Gilbert Bloch

Today's continued increase in demand for processing power, despite the slowdown of Moore's law, has led to an increase in processor count, which has resulted in energy consumption and distribution problems. To address this, there is a growing trend toward ...

EPFL2023

Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous System

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

Dataflow programming is a methodology that enables the development of high-level, parametric programs that are independent of the underlying platform. This approach is particularly useful for heterogeneous platforms, as it eliminates the need to rewrite ap ...

SPRINGER2023

Dynamic SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

Developing and fine-tuning software programs for heterogeneous hardware such as CPU/GPU processing platforms comprise a highly complex endeavor that demands considerable time and effort of software engineers and requires evaluating various fundamental comp ...

MDPI2022

SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis

Marco Mattavelli, Simone Casale Brunet, Aurélien François Gilbert Bloch

Writing and optimizing application software for heterogeneous platforms including GPU units is a very difficult task that requires designer efforts and resources to consider several key elements to obtain good performance. Dataflow programming has shown to ...

2022

Programming Heterogeneous CPU-GPU Systems by High-Level Dataflow Synthesis

Marco Mattavelli, Endri Bezati, Aurélien François Gilbert Bloch

Heterogeneous processing platforms combining in various architectures CPUs, GPUs, and programmable logic, are continuously evolving providing at each generation higher theoretical levels of computing performance. However, the challenge of how efficiently s ...

IEEE2020

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

Trading off Energy versus Accuracy in Modern Computing Systems

Jérémy Lucien Maurice Schlachter

The slowdown of Moore's law, which has been the driving force of the electronics industry over the last 5 decades, is causing serious problem to Integrated Circuits (ICs) improvements. Technology scaling is becoming more and more complex and fabrication co ...

EPFL2018

Porting a Legacy Global Lagrangian PIC Code on Many-Core and GPU-Accelerated Architectures

Laurent Villard, Stephan Brunner, Emmanuel Lanti, Noé Thomas Elie Ohana, Claudio Gheller, Aaron Lewis Scheinberg

Modern supercomputer architectures are evolving towards embedding more and more cores per compute node, often making use of accelerators such as GPUs, in which thousands of threads can be executed concurrently. To make legacy codes profit efficiently from ...

2018

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AMD Fusion

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous System

Dynamic SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis

SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis

A Dynamically Scheduled HLS Flow in MLIR

Programming Heterogeneous CPU-GPU Systems by High-Level Dataflow Synthesis

GPU-accelerated data management under the test of time

Trading off Energy versus Accuracy in Modern Computing Systems

Porting a Legacy Global Lagrangian PIC Code on Many-Core and GPU-Accelerated Architectures

Graph Chatbot

Chattez avec Graph Search

Trading off Energy versus Accuracy in Modern Computing Systems

Intermediate Address Space: virtual memory optimization of heterogeneous architectures for cache-resident workloads

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

A Dynamically Scheduled HLS Flow in MLIR

Programming Heterogeneous CPU-GPU Systems by High-Level Dataflow Synthesis

Dynamic SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis

SIMD Parallel Execution on GPU from High-Level Dataflow Synthesis

GPU-accelerated data management under the test of time

Porting a Legacy Global Lagrangian PIC Code on Many-Core and GPU-Accelerated Architectures

Design Space Exploration for Partitioning Dataflow Program on CPU-GPU Heterogeneous System