Offloading machine learning to programmable data planes: A systematic survey
The demand for machine learning (ML) has increased significantly in recent decades,
enabling several applications, such as speech recognition, computer vision, and …
enabling several applications, such as speech recognition, computer vision, and …
Scalable hierarchical aggregation protocol (SHArP): A hardware architecture for efficient data reduction
RL Graham, D Bureddy, P Lui… - … in HPC (COMHPC), 2016 - ieeexplore.ieee.org
Increased system size and a greater reliance on utilizing system parallelism to achieve
computational needs, requires innovative system architectures to meet the simulation …
computational needs, requires innovative system architectures to meet the simulation …
High performance interconnect network for Tianhe system
XK Liao, ZB Pang, KF Wang, YT Lu, M Xie, J Xia… - Journal of Computer …, 2015 - Springer
In this paper, we present the Tianhe-2 interconnect network and message passing services.
We describe the architecture of the router and network interface chips, and highlight a set of …
We describe the architecture of the router and network interface chips, and highlight a set of …
Scalable Hierarchical Aggregation and Reduction Protocol (SHARP)TM Streaming-Aggregation Hardware Design and Evaluation
RL Graham, L Levi, D Burredy, G Bloch… - … Conference, ISC High …, 2020 - Springer
This paper describes the new hardware-based streaming-aggregation capability added to
Mellanox's Scalable Hierarchical Aggregation and Reduction Protocol in its HDR InfiniBand …
Mellanox's Scalable Hierarchical Aggregation and Reduction Protocol in its HDR InfiniBand …
A RISC-V in-network accelerator for flexible high-performance low-power packet processing
The capacity of offloading data and control tasks to the network is becoming increasingly
important, especially if we consider the faster growth of network speed when compared to …
important, especially if we consider the faster growth of network speed when compared to …
Energy, memory, and runtime tradeoffs for implementing collective communication operations
Collective operations are among the most important communication operations in shared-
and distributed-memory parallel applications. In this paper, we analyze the tradeoffs …
and distributed-memory parallel applications. In this paper, we analyze the tradeoffs …
High-performance and scalable non-blocking all-to-all with collective offload on InfiniBand clusters: a study with parallel 3D FFT
Three-dimensional FFT is an important component of many scientific computing applications
ranging from fluid dynamics, to astrophysics and molecular dynamics. P3DFFT is a widely …
ranging from fluid dynamics, to astrophysics and molecular dynamics. P3DFFT is a widely …
The TH Express high performance interconnect networks
Z Pang, M Xie, J Zhang, Y Zheng, G Wang… - Frontiers of Computer …, 2014 - Springer
Interconnection network plays an important role in scalable high performance computer
(HPC) systems. The TH Express-2 interconnect has been used in MilkyWay-2 system to …
(HPC) systems. The TH Express-2 interconnect has been used in MilkyWay-2 system to …
Cheetah: A framework for scalable hierarchical collective operations
R Graham, MG Venkata, J Ladd… - 2011 11th IEEE/ACM …, 2011 - ieeexplore.ieee.org
Collective communication operations, used by many scientific applications, tend to limit
overall parallel application performance and scalability. Computer systems are becoming …
overall parallel application performance and scalability. Computer systems are becoming …
Overlapping computation and communication: Barrier algorithms and ConnectX-2 CORE-Direct capabilities
RL Graham, S Poole, P Shamis, G Bloch… - … on Parallel & …, 2010 - ieeexplore.ieee.org
This paper explores the computation and communication overlap capabilities enabled by
the new CORE-Direct hardware capabilities introduced in the InfiniBand Network Interface …
the new CORE-Direct hardware capabilities introduced in the InfiniBand Network Interface …