摘要:
Calculating a checksum utilizing inactive networking components in a computing system, including: identifying, by a checksum distribution manager, an inactive networking component, wherein the inactive networking component includes a checksum calculation engine for computing a checksum; sending, to the inactive networking component by the checksum distribution manager, metadata describing a block of data to be transmitted by an active networking component; calculating, by the inactive networking component, a checksum for the block of data; transmitting, to the checksum distribution manager from the inactive networking component, the checksum for the block of data; and sending, by the active networking component, a data communications message that includes the block of data and the checksum for the block of data.
摘要:
Calculating a checksum utilizing inactive networking components in a computing system, including: identifying, by a checksum distribution manager, an inactive networking component, wherein the inactive networking component includes a checksum calculation engine for computing a checksum; sending, to the inactive networking component by the checksum distribution manager, metadata describing a block of data to be transmitted by an active networking component; calculating, by the inactive networking component, a checksum for the block of data; transmitting, to the checksum distribution manager from the inactive networking component, the checksum for the block of data; and sending, by the active networking component, a data communications message that includes the block of data and the checksum for the block of data.
摘要:
Fixing a problem is usually greatly aided if the problem is reproducible. To ensure reproducibility of a multiprocessor system, the following aspects are proposed: a deterministic system start state, a single system clock, phase alignment of clocks in the system, system-wide synchronization events, reproducible execution of system components, deterministic chip interfaces, zero-impact communication with the system, precise stop of the system and a scan of the system state.
摘要:
A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, and that allows for a maximum packaging density of processing nodes from an interconnect point of view. The Supercomputer exploits technological advances in VLSI that enables a computing model where many processors can be integrated into a single Application Specific Integrated Circuit (ASIC). Each ASIC computing node comprises a system-on-chip ASIC utilizing four or more processors integrated into one die, with each having full access to all system resources and enabling adaptive partitioning of the processors to functions such as compute or messaging I/O on an application by application basis, and preferably, enable adaptive partitioning of functions in accordance with various algorithmic phases within an application, or if I/O or other processors are underutilized, then can participate in computation or communication nodes are interconnected by a five dimensional torus network with DMA that optimally maximize the throughput of packet communications between nodes and minimize latency.
摘要翻译:具有100 petaOPS规模计算的多Petascale高效并行超级计算机,其成本,功耗和占地面积都在降低,并且允许从互连角度来看处理节点的最大封装密度。 超级计算机利用了VLSI的技术进步,实现了许多处理器可以集成到单个专用集成电路(ASIC)中的计算模型。 每个ASIC计算节点包括利用集成到一个管芯中的四个或更多个处理器的片上系统ASIC,每个处理器具有对所有系统资源的完全访问,并且使得处理器能够对诸如计算或消息传递I / O 并且优选地,根据应用内的各种算法阶段实现功能的自适应分割,或者如果I / O或其他处理器未被充分利用,则可以参与计算或通信节点通过五维环面网络互连 使用DMA来最大限度地最大化节点之间的分组通信的吞吐量并最小化等待时间。
摘要:
A Multi-Petascale Highly Efficient Parallel Supercomputer of 100 petaOPS-scale computing, at decreased cost, power and footprint, and that allows for a maximum packaging density of processing nodes from an interconnect point of view. The Supercomputer exploits technological advances in VLSI that enables a computing model where many processors can be integrated into a single Application Specific Integrated Circuit (ASIC). Each ASIC computing node comprises a system-on-chip ASIC utilizing four or more processors integrated into one die, with each having full access to all system resources and enabling adaptive partitioning of the processors to functions such as compute or messaging I/O on an application by application basis, and preferably, enable adaptive partitioning of functions in accordance with various algorithmic phases within an application, or if I/O or other processors are underutilized, then can participate in computation or communication nodes are interconnected by a five dimensional torus network with DMA that optimally maximize the throughput of packet communications between nodes and minimize latency.
摘要翻译:具有100 petaOPS规模计算的多Petascale高效并行超级计算机,其成本,功耗和占地面积都在降低,并且允许从互连角度来看处理节点的最大封装密度。 超级计算机利用了VLSI的技术进步,实现了许多处理器可以集成到单个专用集成电路(ASIC)中的计算模型。 每个ASIC计算节点包括利用集成到一个管芯中的四个或更多个处理器的片上系统ASIC,每个处理器具有对所有系统资源的完全访问,并且使得处理器能够对诸如计算或消息传递I / O 并且优选地,根据应用内的各种算法阶段实现功能的自适应分割,或者如果I / O或其他处理器未被充分利用,则可以参与计算或通信节点通过五维环面网络互连 使用DMA来最大限度地最大化节点之间的分组通信的吞吐量并最小化等待时间。
摘要:
Fixing a problem is usually greatly aided if the problem is reproducible. To ensure reproducibility of a multiprocessor system, the following aspects are proposed: a deterministic system start state, a single system clock, phase alignment of clocks in the system, system-wide synchronization events, reproducible execution of system components, deterministic chip interfaces, zero-impact communication with the system, precise stop of the system and a scan of the system state.
摘要:
Messaging in a parallel computer using remote direct memory access (‘RDMA’), including: receiving a send work request; responsive to the send work request: translating a local virtual address on the first node from which data is to be transferred to a physical address on the first node from which data is to be transferred from; creating a local RDMA object that includes a counter set to the size of a messaging acknowledgment field; sending, from a messaging unit in the first node to a messaging unit in a second node, a message that includes a RDMA read operation request, the physical address of the local RDMA object, and the physical address on the first node from which data is to be transferred from; and receiving, by the first node responsive to the second node's execution of the RDMA read operation request, acknowledgment data in the local RDMA object.
摘要:
Messaging in a parallel computer using remote direct memory access (‘RDMA’), including: receiving a send work request; responsive to the send work request: translating a local virtual address on the first node from which data is to be transferred to a physical address on the first node from which data is to be transferred from; creating a local RDMA object that includes a counter set to the size of a messaging acknowledgment field; sending, from a messaging unit in the first node to a messaging unit in a second node, a message that includes a RDMA read operation request, the physical address of the local RDMA object, and the physical address on the first node from which data is to be transferred from; and receiving, by the first node responsive to the second node's execution of the RDMA read operation request, acknowledgment data in the local RDMA object.
摘要:
Remote direct memory access (‘RDMA’) in a parallel computer, the parallel computer including a plurality of nodes, each node including a messaging unit, including: receiving an RDMA read operation request that includes a virtual address representing a memory region at which to receive data to be transferred from a second node to the first node; responsive to the RDMA read operation request: translating the virtual address to a physical address; creating a local RDMA object that includes a counter set to the size of the memory region; sending a message that includes an DMA write operation request, the physical address of the memory region on the first node, the physical address of the local RDMA object on the first node, and a remote virtual address on the second node; and receiving the data to be transferred from the second node.
摘要:
Synchronizing time bases in a parallel computer that includes compute nodes organized for data communications in a tree network, where one compute node is designated as a root, and, for each compute node: calculating data transmission latency from the root to the compute node; configuring a thread as a pulse waiter; initializing a wakeup unit; and performing a local barrier operation; upon each node completing the local barrier operation, entering, by all compute nodes, a global barrier operation; upon all nodes entering the global barrier operation, sending, to all the compute nodes, a pulse signal; and for each compute node upon receiving the pulse signal: waking, by the wakeup unit, the pulse waiter; setting a time base for the compute node equal to the data transmission latency between the root node and the compute node; and exiting the global barrier operation.