Concept
Bulldozer (microarchitecture)
Publications associées (60)
Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-constrained Cycles
Paolo Ienne, Kubilay Atasu, Jovan Blanusa
Cycles are one of the fundamental subgraph patterns and being able to enumerate them in graphs enables important applications in a wide variety of fields, including finance, biology, chemistry, and network science. However, to enable cycle enumeration in r ...
New York2023Evaluating contrast sensitivity in early and intermediate age-related Macular Degeneration with the Quick Contrast Sensitivity Function
Michael Herzog, Simona Adele Garobbio
Purpose: The purpose of this study was to describe, validate, and compare the contrast sensitivity functions (CSFs) acquired with the novel quick CSF (qCSF) method from patients with early and intermediate age-related macular degeneration (eAMD and iAMD) a ...
2023Scalable Fine-Grained Parallel Cycle Enumeration Algorithms
Paolo Ienne, Kubilay Atasu, Jovan Blanusa
Enumerating simple cycles has important applications in computational biology, network science, and financial crime analysis. In this work, we focus on parallelising the state-of-the-art simple cycle enumeration algorithms by Johnson and Read-Tarjan along ...
arXiv2022Reinforcement Learning-Based Joint Reliability and Performance Optimization for Hybrid-Cache Computing Servers
David Atienza Alonso, Marina Zapater Sancho, Luis Maria Costero Valero, Darong Huang, Ali Pahlevan
Computing servers play a key role in the development and process of emerging compute-intensive applications in recent years. However, they need to operate efficiently from an energy perspective viewpoint, while maximizing the performance and lifetime of th ...
2022Boosting Efficiency of External Pipelines by Blurring Application Boundaries
Anastasia Ailamaki, Periklis Chrysogelos, Anna Patricia Herlihy
Modern application development addresses increasingly specialized problems using domain-specific utilities, such as Optical Code Recognition and standalone statistical tools. The diversity of tooling, combined with the ever-growing volume of data, requires ...
2022ALPINE: Analog In-Memory Acceleration with Tight Processor Integration for Deep Learning
David Atienza Alonso, Marina Zapater Sancho, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Irem Boybat Kara, Yasir Mahmood Qureshi, Joshua Alexander Harrison Klein, Abu Sebastian
Analog in-memory computing (AIMC) cores offers significant performance and energy benefits for neural network inference with respect to digital logic (e.g., CPUs). AIMCs accelerate matrix-vector multiplications, which dominate these applications’ run-time. ...
2022Full System Exploration of On-Chip Wireless Communication on Many-Core Architectures
David Atienza Alonso, Marina Zapater Sancho, Giovanni Ansaloni, Rafael Medina Morillas, Yasir Mahmood Qureshi, Joshua Alexander Harrison Klein
In order to develop sustainable and more powerful information technology (IT) infrastructures, the challenges posed by the "memory wall" are critical for the design of high-performance and high-efficiency many-core computing systems. In this context, recen ...
2022Micro BTB: A High Performance and Storage Efficient Last-Level Branch Target Buffer for Servers
High-performance branch target buffers (BTBs) and the L1I cache are key to high-performance front-end. Modern branch predictors are highly accurate, but with an increase in code footprint in modern-day server workloads, BTB and L1I misses are still frequen ...
ASSOC COMPUTING MACHINERY2022How Many CPU Cores is an FPGA Worth? Lessons Learned from Accelerating String Sorting on a CPU-FPGA System
Paolo Ienne, Mikhail Asiatici, Damian Maiorano
String sorting is a fundamental kernel of string matching and database index construction; yet, it has not been studied as extensively as fixed-length keys sorting. Because processing variable-length keys in hardware is challenging, it is no surprise that ...
SPRINGER2021Towards Deeply Scaled 3D MPSoCs with Integrated Flow Cell Array Technology
David Atienza Alonso, Marina Zapater Sancho, Alexandre Sébastien Julien Levisse, Mohamed Mostafa Sabry Aly, Halima Najibi
Deeply-scaled three-dimensional (3D) Multi-Processor Systems-on-Chip (MPSoCs) enable high performance and massive communication bandwidth for next-generation computing. However, as process nodes shrink, temperature-dependent leakage dramatically increases, ...
2020