For systems with multicore processors contention for shared resources is a problem that occurs when several memory-intensive processes are executed in parallel within the same memory domain. This contention has a direct influence on the performance of the system and is a complex problem that has been recognized for a long time. An attractive and actively studied way to minimize this problem is by using a process scheduler adapted to allocate processor cores in a way such that contention for shared resources is minimized. With the introduction of multicore NUMA-systems (Non-Uniform Memory Access) the situation has become even more complex. In these systems the access time for processor cores to different memory domains vary depending on fact...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
International audienceOver the past few years, parallel sparse direct solvers made significant progr...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
In modern Non-Uniform Memory Access (NUMA) systems, there are multiple memory nodes, each with its o...
The invention, acceptance, and proliferation of multiprocessors are primarily a result of the quest ...
Abstract. In this paper we describe the design, implementation and experimental evaluation of a tech...
There has been much work in NUMA-aware (Non-Uniform Memory Access) scheduling the past decade, all a...
© 2017 ACM. As the number of cores increases in a single chip processor, several challenges arise: w...
Large-scale Non-Uniform Memory Access (NUMA) multiprocessors are gaining increased attention due to ...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
Processors with multiple sockets or chiplets are becoming more conventional. These kinds of processo...
Performance degradation due to nonuniform data access latencies has worsened on NUMA systems and can...
One of the main problems in multi-core systems is the contention of shared resources such as cache, ...
Abstract. Nowadays shared memory HPC platforms expose a large number of cores organized in a hierarc...
Modern architectures have multiple processors, each of which contains multiple cores, connected to d...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
International audienceOver the past few years, parallel sparse direct solvers made significant progr...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...
In modern Non-Uniform Memory Access (NUMA) systems, there are multiple memory nodes, each with its o...
The invention, acceptance, and proliferation of multiprocessors are primarily a result of the quest ...
Abstract. In this paper we describe the design, implementation and experimental evaluation of a tech...
There has been much work in NUMA-aware (Non-Uniform Memory Access) scheduling the past decade, all a...
© 2017 ACM. As the number of cores increases in a single chip processor, several challenges arise: w...
Large-scale Non-Uniform Memory Access (NUMA) multiprocessors are gaining increased attention due to ...
The problem of placement of threads, or virtual cores, on physical cores in a multicore system has b...
Processors with multiple sockets or chiplets are becoming more conventional. These kinds of processo...
Performance degradation due to nonuniform data access latencies has worsened on NUMA systems and can...
One of the main problems in multi-core systems is the contention of shared resources such as cache, ...
Abstract. Nowadays shared memory HPC platforms expose a large number of cores organized in a hierarc...
Modern architectures have multiple processors, each of which contains multiple cores, connected to d...
Nonuniform memory access time (referred to as NUMA) is an important feature in the design of large s...
International audienceOver the past few years, parallel sparse direct solvers made significant progr...
The latency of memory access times is hence non-uniform, because it depends on where the request ori...