Accelerators and Communications for HPC (AccelCom)

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Mostrando 1 - 30 resultados de 93

2022

Towards Enhancing Coding Productivity for GPU Programming Using Static Graphs

Electronics

L. Toledo, P. Valero-Lara, J. Vetter, and A. J. Pena
Enabling Homomorphically Encrypted Inference for Large DNN Models

IEEE Transactions on Computers

G. Lloret-Talavera, M. Jorda, H. Servat, F. Boemer, C. Chauhan, S. Tomishima, N. N. Shah, and A. J. Pena
Towards OmpSs-2 and OpenACC interoperation

PPoPP '22: Proceedings of the 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

O. Korakitis, S. Garcia de Gonzalo, N. Guidotti, J. Barreto, J. C. Monteiro, and A. J. Pena
cuConv: CUDA implementation of convolution for CNN inference

Cluster Computing

M. Jorda, P. Valero-Lara, and A. J. Pena

2021

JACC: An OpenACC Runtime Framework with Kernel-Level and Multi-GPU Parallelization

28th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC)

K. Matsumura, S. Garcia de Gonzalo, and A. J. Pena
Static graphs for coding productivity in OpenACC

28th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC)

L. Toledo, P. Valero-Lara, J. Vetter, and A. J. Pena
EPEEC: Productivity at Exascale

Communications of the ACM Europe Region Special Section Virtual Workshop

A. J. Pena
EPEEC: Europe toward High Coding Productivity for Exascale

27th International European Conference on Parallel and Distributed Computing (Euro-Par)

A. J. Pena
Particle-In-Cell Simulation Using Asynchronous Tasking

Euro-Par 2021

N. Guidotti, P. Ceyrat, J. Barreto, J. Montairo, R. Rodrigues, R. Fonseca, X. Martorell, and A. J. Pena
DMRlib: Easy-Coding and Efficient Resource Management for Job Malleability

IEEE Transactions on Computers

S. Iserte, R. Mayo, E. S. Quintana-Ortí, and A. J. Pena
A Tale of Two Programming-Models: Enhancing Heterogeneity, Productivity, and Performance through OmpSs-2 + OpenACC Inter-Operation

GPU Technology Conference

S. Garciade Gonzalo
Wrapping up Existing OpenACC Compilers for Runtime Extension

PhD Forum, ISC High Performance

K. Matsumura, S. Garcia de Gonzalo, and A. J. Pena
Accelerating Machine Learning Applications Using CUDA Graph and OpenACC

GPU Technology Conference

L. Toledo, P. Valero-Lara, and A. J. Pena
Breaking the DRAM size wall for DNN inference and homomorphic encryption

Intel Vendor Use-Case, ISC High Performance

A. J. Pena
Results and lessons learned by EPEEC

PROHEXA: Programming environments and models for improved productivity for heterogeneous Exascale Computing Systems

A. J. Pena
Overview of EPEEC: European joint Effort toward a Highly Productive Programming Environment for Heterogeneous Exascale Computing

PROHEXA: Programming environments and models for improved productivity for heterogeneous Exascale Computing Systems

A. J. Pena

2020

Optane PMem as an enabler for large DNN models with homomorphic encryption

Intel Extreme Performance Users Group (IXPUG) Annual Conference

G. Lloret-Talavera, M. Jorda, H. Servat, F. Boemer, C. Chauhan, S. Tomishima, N. N. Shah, and A. J. Pena
A software ecosystem to save money in DRAM and increase performance with Optane DIMMs

Intel HPC + AI Pavilion

A. J. Pena
Tasking in accelerators: Performance evaluation

The 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)

L. Toledo, A. J. Pena, S. Catalán, and P. Valero-Lara
Analysis of threading libraries for high performance computing

IEEE Transactions on Computers

A. Castelló, R. Mayo, S. Seo, P. Balaji, E. S. Quintana-Ortí, and A. J. Pena
Enabling energy-efficient computing for exascale with EPEEC

HiPEACinfo

A. J. Pena
Guest editorial: Special Issue on Applications and System Software for Hybrid Exascale Systems

Parallel Computing

A. J. Pena, and M. Si

2019

Dynamic reconfiguration of noniterative scientific applications: A case study with HPG aligner

International Journal of High Performance Computing Applications

S. Iserte, H. Martínez, S. Barrachina, M. Castillo, R. Mayo, and A. J. Pena
The H2020 EPEEC Vision to Programming Productivity at Exascale

A Structured Approach for Programming Extreme Scale and Heterogeneous Systems Workshop

A. J. Pena
HPC & resource heterogeneity

Convergence of Big-Data Analytics, Cloud, and High-performance Computing with EVOLVE, HiPEAC Computer Systems Week Autumn 2019

A. J. Pena
A novel tool for analysing benefits of data placement in multi-level memory hierarchies

Panel on Multi-Level Memory and Storage for HPC, Data Analytics & AI. ISC High Performance

A. J. Pena
Latest MPICH works at BSC (To be BSC-MPI)

MPICH: A high-performance open-source MPI implementation. The International Confeerence for High Performance Computing, Networking, Storage and Analytics (SC19)

A. J. Pena
Easing the use of Optane DIMMs as part of heterogeneous memory systems

Intel HPC Developer Conference

M. Jorda, H. Servat, J. Labarta, and A. J. Pena
Toward easing the use of Optane DIMMs as part of heterogeneous memory systems

Intel Extreme Performance Users Group (IXPUG) Annual Conference

M. Jorda, H. Servat, and A. J. Pena
Improved Convolution Implementations on NVIDIA GPUs

9th Joint Laboratory for Extreme-Scale Computing Workshop (JLESC)

M. Jorda, P. Valero-Lara, and A. J. Pena

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