Abstract: Methods and apparatus to provide failure detection are disclosed herein. An example method to synchronize data operations between multiple workload units in a computing device to facilitate failure detection includes identifying a number of first data operations to write data from a computing node in a first workload unit to locations that are not in a local cache of the computing node and are not in a memory of the first workload unit, the first data operations corresponding to a set of computing instructions that are assigned to the first workload unit and, when a flag in the first workload unit has been set to a first value, synchronizing the first data operations with second data operations by a second workload unit.

Abstract: Methods and apparatus to provide failure detection are disclosed herein. An example method to synchronize data operations between multiple workload units in a computing device to facilitate failure detection includes identifying a number of first data operations to write data from a computing node in a first workload unit to locations that are not in a local cache of the computing node and are not in a memory of the first workload unit, the first data operations corresponding to a set of computing instructions that are assigned to the first workload unit and, when a flag in the first workload unit has been set to a first value, synchronizing the first data operations with second data operations by a second workload unit.

Abstract: Generally, this disclosure describes a scalable cluster router that includes a plurality of server-class computers interconnected together to form a router. Each server may be configured to independently schedule switching of packets to reduce the switch speed requirements on a per server basis. Each server may include a scheduler that independently load balances packet flows across servers of the cluster. Router capacity may be incrementally scaled by adding more servers, and router capacity may be increased by load balancing techniques within individual servers.

Abstract: Generally, this disclosure describes a scalable cluster router that includes a plurality of server-class computers interconnected together to form a router. Each server may be configured to independently schedule switching of packets to reduce the switch speed requirements on a per server basis. Each server may include a scheduler that independently load balances packet flows across servers of the cluster. Router capacity may be incrementally scaled by adding more servers, and router capacity may be increased by load balancing techniques within individual servers.

Abstract: A mechanism for increasing the performance of control speculation comprises executing a speculative load, returning a data value to a register targeted by the speculative load if it hits in a cache, and associating a deferral token with the speculative load if it misses in the cache. The mechanism may also issue a prefetch on a cache miss to speed execution of recovery code if the speculative load is subsequently determined to be on the control flow path.