Miquel Pericas
Visar 45 publikationer
Challenges and Opportunities in the Co-design of Convolutions and RISC-V Vector Processors
ODIN: Overcoming Dynamic Interference in iNference Pipelines
Analysis and Characterization of Performance Variability for OpenMP Runtime
Accelerating CNN inference on long vector architectures via co-design
JOSS: Joint Exploration of CPU-Memory DVFS and Task Scheduling for Energy Efficiency
At the Locus of Performance: Quantifying the Effects of Copious 3D-Stacked Cache on HPC Workloads
Shisha: Online Scheduling of CNN Pipelines on Heterogeneous Architectures
STEER: Asymmetry-aware Energy Efficient Task Scheduler for Cluster-based Multicore Architectures
ERASE: Energy Efficient Task Mapping and Resource Management for Work Stealing Runtimes
An online guided tuning approach to run CNN pipelines on edge devices
CBP: Coordinated management of cache partitioning, bandwidth partitioning and prefetch throttling
Vectorized Barrier and Reduction in LLVM OpenMP Runtime
Enhancing thread-level parallelism in asymmetric multicores using transparent instruction offloading
LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing
DELTA: Distributed Locality-Aware Cache Partitioning for Tile-based Chip Multiprocessors
Scheduling Task-parallel Applications in Dynamically Asymmetric Environments
Enhancing Multithreaded Performance of Asymmetric Multicores with SIMD Offloading
QoS-driven coordinated management of resources to save energy in multi-core systems
SaC: Exploiting execution-time slack to save energy in heterogeneous multicore systems
LEGaTO: First Steps Towards Energy-Efficient Toolset for Heterogeneous Computing
LEGaTO: Towards Energy-Efficient, Secure, Fault-tolerant Toolset for Heterogeneous Computing
Message from the general co-chairs - 2018 ACM International Conference on Computing Frontiers
Global dead-block management for task-parallel programs
Elastic Places: An Adaptive Resource Manager for Scalable and Portable Performance
Runtime-Assisted Global Cache Management for Task-based Parallel Programs
Trends in Data Locality Abstractions for HPC Systems
SWAS: Stealing Work Using Approximate System-Load Information
RADAR: Run-time assisted Dead-Region Management for Last-Level Caches
A Cache-centric Execution Model and Runtime for Deep Parallel Multicore Topologies
Task Assembly Objects: a Cache-centric Execution Model and its Prototype Runtime Implementation
Scaling FMM with data-driven OpenMP tasks on multicore architectures
Self-Tuned Software-Managed Energy Reduction in Infiniband Links
RADAR: Runtime-assisted dead region management for last-level caches
A Case for Runtime-Assisted Global Cache Management
Scalable and Locality-aware Resource Management with Task Assembly Objects
RADAR: Runtime-Assisted Dead Region Management for Last-Level Caches
DAGViz: A DAG Visualization Tool for Analyzing Task Parallel Program Traces
Scalable analysis of multicore data reuse and sharing
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Visar 8 forskningsprojekt
Pilot using Independent Local & Open Technologies (The European PILOT)
Principer för beräknande minnesenheter (PRIDE)
P4PIM: Principer för effektbegränsadHPC-programmering för PIM-nätverk
Very Efficient Deep Learning in IOT (VEDLIoT)
Low-energy toolset for heterogeneous computing (LEGaTO)
ACE: Approximativa algoritmer och datorsystem