Critical path-based thread placement for NUMA systems

Thread and Memory Placement on NUMA Systems: Asymmetry Matters

It is well known that the placement of threads and memory plays a crucial role for performance on NUMA (Non-Uniform Memory-Access) systems. The conventional wisdom is to place threads close to their memory, to collocate on the same node threads that share data, and to segregate on different nodes threads that compete for memory bandwidth or cache resources. While many studies addressed thread a...

Memory and Thread Management on NUMA Systems

Exploring Thread and Memory Placement on NUMA Architectures: Solaris and Linux, UltraSPARC/FirePlane and Opteron/HyperTransport

Modern shared memory multiprocessor systems commonly have non-uniform memory access (NUMA) with asymmetric memory bandwidth and latency characteristics. Operating systems now provide application programmer interfaces allowing the user to perform specific thread and memory placement. To date, however, there have been relatively few detailed assessments of the importance of memory/thread placemen...

A Dual-Length Path-Based Predictor for Thread Prediction

In speculative multithreading (SpMT) architectures which exploit thread level parallelism from a sequential program, predicting and spawning threads that follow a correct control flow is a major performance factor. Strategies for this control speculation issue can be divided into two approaches. The first approach is to support a limited control speculation, in which threads may only be spawn a...

Literature Study NUMA-Aware Thread Scheduling On Hierarchical Multiprocessor Machines

As the use of computer for massive computation keeps increasing, the applications always request more and more performances. To hold that pace, computer architects have proposed always more evolved hardware solutions to get computers powerful beyond imagination. But when dealing with high performance computing, users generally have quite large imagination, and the effect of such a challenge res...