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Scaling Up Performance of Managed Applications on NUMA Systems
Scaling up the performance of managed applications on Non-Uniform Memory Access (NUMA) architectures has been a challenging task, as it …
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TeraHeap: Reducing Memory Pressure in Managed Big Data Frameworks

Big data analytics frameworks, such as Spark and Giraph, need to process and cache massive amounts of data that do not always fit on …
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A Multifaceted Memory Analysis of Java Benchmarks
Java benchmarking suites like Dacapo and Renaissance are employed by the research community to evaluate the performance of novel …
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You Can’t Hide You Can’t Run: A Performance Assessment of Managed Applications on a NUMA Machine
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Say Goodbye to Off-heap Caches! On-heap Caches Using Memory-Mapped I/O
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Efficient Compilation and Execution of JVM-Based Data Processing Frameworks on Heterogeneous Co-Processors
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An Analysis of Call-Site Patching without Strong Hardware Support for Self-Modifying-Code
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Dynamic Application Reconfiguration on Heterogeneous Hardware
By utilizing diverse heterogeneous hardware resources, developers can significantly improve the performance of their applications. …
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Exploiting High-performance Heterogeneous Hardware for Java Programs Using Graal
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On the future of research VMs: a hardware/software perspective
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