A chief characteristic of next-generation computing systems is the prevalence of parallelism at multiple levels of granularity. From the instruction level to the chip level to server level to the grid level, parallelism is the dominant method of improving performance relative to cost. While the characteristics of the fabric such as the granularity or the interconnect differ at each level, the common theme is parallel computing. Building applications that take full advantage of parallelism remains a significant challenge, even when exclusive access to the computing fabric is assumed
Individual processor frequencies have reached an upper physical and practical limit. Processor desig...
This chapter will introduce the basics ofmultiprocessor scheduling. As this topic is relatively adva...
Today, large scale parallel systems are available at low cost. Many powerful such systems have been ...
A chief characteristic of next-generation computing systems is the prevalence of parallelism at mult...
Modern high performance computing (HPC) systems exhibit rapid growth in size, both "horizontally" in...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
Nested parallelism is a well-known parallelization strategy to exploit irregular parallelism in HPC ...
Considerable research has produced a plethora of efficient methods of exploiting parallelism on dedi...
Considerable research has produced a plethora of efficient methods of exploiting parallelism on dedi...
. Parallel job scheduling is beginning to gain recognition as an important topic that is distinct f...
An important issue in multiprogrammed multiprocessor systems is the scheduling of parallel jobs. Con...
Computational scientists are eager to utilize computing resources to execute their applications to a...
In this paper we consider the problem of scheduling computational resources across a range of high-p...
Scheduling problems are essential for decision making in many academic disciplines, including operat...
Multicore platforms have transformed parallelism into a main concern. Parallel programming models a...
Individual processor frequencies have reached an upper physical and practical limit. Processor desig...
This chapter will introduce the basics ofmultiprocessor scheduling. As this topic is relatively adva...
Today, large scale parallel systems are available at low cost. Many powerful such systems have been ...
A chief characteristic of next-generation computing systems is the prevalence of parallelism at mult...
Modern high performance computing (HPC) systems exhibit rapid growth in size, both "horizontally" in...
Emerging architecture designs include tens of processing cores on a single chip die; it is believed ...
Nested parallelism is a well-known parallelization strategy to exploit irregular parallelism in HPC ...
Considerable research has produced a plethora of efficient methods of exploiting parallelism on dedi...
Considerable research has produced a plethora of efficient methods of exploiting parallelism on dedi...
. Parallel job scheduling is beginning to gain recognition as an important topic that is distinct f...
An important issue in multiprogrammed multiprocessor systems is the scheduling of parallel jobs. Con...
Computational scientists are eager to utilize computing resources to execute their applications to a...
In this paper we consider the problem of scheduling computational resources across a range of high-p...
Scheduling problems are essential for decision making in many academic disciplines, including operat...
Multicore platforms have transformed parallelism into a main concern. Parallel programming models a...
Individual processor frequencies have reached an upper physical and practical limit. Processor desig...
This chapter will introduce the basics ofmultiprocessor scheduling. As this topic is relatively adva...
Today, large scale parallel systems are available at low cost. Many powerful such systems have been ...