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This paper describes the system overview of our Java Just-In-Time (JIT) compiler, which is the basis for the latest production version of IBM Java JIT compiler that supports a diversity of processor architectures including both 32-bit and 64-bit modes, CISC, RISC, and VLIW architectures. In particular, we focus on the design and evaluation of the(More)
A Java application sometimes raises an out-of-memory ex-ception. This is usually because it has exhausted the Java heap. However, a Java application can raise an out-of-memory exception when it exhausts the memory used by Java that is not in the Java heap. We call this area non-Java memory. For example, an out-of-memory exception in the non-Java memory can(More)
Java has been successful particularly for writing applications in the server environment. However, <i>isolation</i> of multiple applications hasnot been efficiently achieved in Java. Many customers require that their applications are guarded by independent OS processes, but starting a Java application with a new process results in a long sequence of(More)
The performance of Java has been tremendously improved by the advance of Just-in-Time (JIT) compilation technologies. However, debugging such a dynamic compiler is much harder than a static compiler. Recompiling the problematic method to produce a diagnostic output does not necessarily work as expected, because the compilation of a method depends on runtime(More)
This paper describes a novel approach to reduce the memory consumption of Java programs, by focusing on their "string memory inefficiencies". In recent Java applications, string data occupies a large amount of the heap area. For example, about 40% of the live heap area is used for string data when a production J2EE application server is running. By(More)
Interpreters play an important role in many languages, and their performance is critical particularly for the popular language Java. The performance of the interpreter is important even for high-performance virtual machines that employ just-in-time compiler technology, because there are advantages in delaying the start of compilation and in reducing the(More)
Tracking the allocation site of every object at runtime is useful for reliable, optimized Java. To be used in production environments, the tracking must be accurate with minimal speed loss. Previous approaches suffer from performance degradation due to the additional field added to each object or track the allocation sites only probabilistically. We propose(More)
To increase the memory efficiency in physical servers is a significant concern for increasing the number of virtual machines (VM) in them. When similar web application service runs in each guest VM, many string data with the same values are created in every guest VMs. These duplications of string data are redundant from the viewpoint of memory efficiency in(More)
Improving memory utilization is important for improving the efficiency of a cloud datacenter by increasing the number of usable VMs. Memory over-commitment is a common technique for this purpose. Transparent Page Sharing (TPS) is a technique to improve the utilization by sharing identical memory pages to reduce the total memory consumption. For a cloud(More)
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