Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Hillel Chapman is active.

Publication


Featured researches published by Hillel Chapman.


grid computing | 2010

ConnectX-2 InfiniBand Management Queues: First Investigation of the New Support for Network Offloaded Collective Operations

Richard L. Graham; Stephen W. Poole; Pavel Shamis; Gil Bloch; Noam Bloch; Hillel Chapman; Michael Kagan; Ariel Shahar; Ishai Rabinovitz; Gilad Shainer

This paper introduces the newly developed Infini- Band (IB) Management Queue capability, used by the Host Channel Adapter (HCA) to manage network task data flow dependancies, and progress the communications associated with such flows. These tasks include sends, receives, and the newly supported wait task, and are scheduled by the HCA based on a data dependency description provided by the user. This functionality is supported by the ConnectX-2 HCA, and provides the means for delegating collective communication management and progress to the HCA, also known as collective communication offload. This provides a means for overlapping collective communications managed by the HCA and computation on the Central Processing Unit (CPU), thus making it possible to reduce the impact of system noise on parallel applications using collective operations. This paper further describes how this new capability can be used to implement scalable Message Passing Interface (MPI) collective operations, describing the high level details of how this new capability is used to implement the MPI Barrier collective operation, focusing on the latency sensitive performance aspects of this new capability. This paper concludes with small scale bench- mark experiments comparing implementations of the barrier collective operation, using the new network offload capabilities, with established point-to-point based implementations of these same algorithms, which manage the data flow using the central processing unit. These early results demonstrate the promise this new capability provides to improve the scalability of high- performance applications using collective communications. The latency of the HCA based implementation of the barrier is similar to that of the best performing point-to-point based implementation managed by the central processing unit, starting to outperform these as the number of processes involved in the collective operation increases.


ieee international symposium on parallel distributed processing workshops and phd forum | 2010

Overlapping computation and communication: Barrier algorithms and ConnectX-2 CORE-Direct capabilities

Richard L. Graham; Stephen W. Poole; Pavel Shamis; Gil Bloch; Noam Bloch; Hillel Chapman; Michael Kagan; Ariel Shahar; Ishai Rabinovitz; Gilad Shainer

This paper explores the computation and communication overlap capabilities enabled by the new CORE-Direct hardware capabilities introduced in the InfiniBand Network Interface Card (NIC) ConnectX-2. We use the latency dominated nonblocking barrier algorithm in this study, and find that at 64 process count, a contiguous time slot of about 80% of the nonblocking barrier time is available for computation. This time slot increases as the number of processes participating increases. In contrast, Central Processing Unit (CPU) based implementations provide a time slot of up to 30% of the nonblocking barrier time. This bodes well for the scalability of simulations employing offloaded collective operations. These capabilities can be used to reduce the effects of system noise, and when using non-blocking collective operations may also be used to hide the effects of application load imbalance.


Archive | 2010

Cross-channel network operation offloading for collective operations

Noam Bloch; Gil Bloch; Ariel Shachar; Hillel Chapman; Ishai Rabinobitz; Pavel Shamis; Gilad Shainer


Archive | 2001

Co-simulation of network components

Noam Bloch; Hillel Chapman


Archive | 2007

AUTO-NEGOTIATION BY NODES ON AN INFINIBAND FABRIC

Michael Kagan; Alon Webman; Ido Bukspan; Benny Koren; Hillel Chapman; Ariel Shachar


Archive | 2009

Dynamically-Connected Transport Service

Diego Crupnicoff; Michael Kagan; Ariel Shahar; Noam Bloch; Hillel Chapman


Archive | 2010

Power Reduction on Idle Communication Lanes

Oren Tzvi Sela; Hillel Chapman; Ran Ravid


Archive | 2009

Processing of data integrity field

Dror Goldenberg; Hillel Chapman; Achiad Shochat; Peter Paneah; Tamir Azarzar; Dror Bohrer; Michael Kagan


Archive | 2009

Fibre channel processing by a host channel adapter

Michael Kagan; Ido Bukspan; Dror Goldenberg; Itamar Rabenstein; Hillel Chapman; Ariel Shachar; Diego Crupnicoff


Archive | 2004

Method and switch system for optimizing the use of a given bandwidth in different network connections

Michael Kagan; Alon Webman; Ido Bukspan; Ran Ravid; Itai Zahavi; Danny Koplev; Tall Roll; Hillel Chapman

Collaboration


Dive into the Hillel Chapman's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Gil Bloch

Mellanox Technologies

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Pavel Shamis

Oak Ridge National Laboratory

View shared research outputs
Researchain Logo
Decentralizing Knowledge