Top Tweets for #MPLR
If you attend #SPLASH this year, join our #MPLR talk to learn more regarding allocating the #Java heap in a memory location that is #shared memory between CPUs & #GPUs! Read more in @snatverk’s blog!
@AERO_Project_EU
@encrypt_project
@tangoproject_eu
@INCODE_eu
@elegant_ict
This year's MPLR has a very full program.
Memory, Garbage Collection, JIT compilation, experience from production systems, performance, profiling, and much more!
Something for everyone!
Interested? Join us in October! https://t.co/BGhZ43j24o
"A Multifaceted Memory Analysis of Java Benchmarks"
@MPLR_Conf.
In this work, we present an in-depth memory behavior study for 30 #Dacapo & #Renaissance #Java applications and show how cross-layer profiling broadens the analysis perspective!
Preprint ➡️ https://t.co/2KVSiSsIEO
Congratulations #MPLR convincing but competitive win 2-1 in the Grand Final against @waverleyhc #gowellers
Finding the right granularity to make parallel execution efficient may require smarter compilers, like in this MPLR'19 paper:
PorcE: a deparallelizing compiler
A. Michener Peters, J. A. Thywissen, C. J. Rossbach
https://t.co/hlYEtj9NJD
#pastPapers #MPLR
Of course, WebAssembly is an important runtime technology in the MPLR community, too:
WARDuino: a dynamic WebAssembly virtual machine for programming microcontrollers
Robbert Gurdeep Singh, Christophe Scholliers
https://t.co/jgxPVUFQ4P
#pastPapers #MPLR
Another classic MPLR topic, optimizations for specific language constructs:
Efficient dispatch of multi-object polymorphic call sites in contextual role-oriented programming languages
@larsschuetze, J. Castrillon
https://t.co/D5LA606Gw4
#pastPapers #MPLR
MPLR also has it's fair share of research on concurrency issues:
Efficient, near complete, and often sound hybrid dynamic data race prediction
Martin Sulzmann, Kai Stadtmüller
https://t.co/HM91OYoqiG
#pastPapers #MPLR
Machine learning can also fit into MPLR, as in this paper:
Using machine learning to predict the code size impact of duplication heuristics in a dynamic compiler
R. Mosaner, @davleopo, @lstad_ler, H. Mössenböck
https://t.co/04KJakGepT
#pastPapers #MPLR
Testing VM implementations is always a hot topic, too:
Cross-ISA testing of the Pharo VM: lessons learned while porting to ARMv8
@GuillePolito @tesonep @stephaneducasse et al.
https://t.co/XqPE6Q43kI
#pastPapers #MPLR
While the previous tweets mostly looked a decade or more back, now let's look at last year's MPLR, e.g. with:
Shared memory protection in a multi-tenant JVM
Majid Makki, Dimitri Van Landuyt, Bert Lagaisse, Wouter Joosen
https://t.co/d2Ba8oCbs2
#pastPapers #MPLR
Too often, benchmarking is still a black art. So, here some science from back in '08:
Measuring the performance of interactive applications with listener latency profiling
Milan Jovic, @mathau
https://t.co/hazDtAhjiW
#pastPapers #MPLR
VMs are huge, and we still haven't really solved "reuse".
Here ideas from '08:
A lazy developer approach: building a JVM with third party software
Nicolas Geoffray, Gaël Thomas, Charles Clément, Bertil Folliot
https://t.co/WowRm83aXr
#pastPapers #MPLR
Using Java to implement Java has a long history.
Here work from '07:
Implementing fast JVM interpreters using Java itself
@mbebenita, @andreasgal, Michael Franz
https://t.co/brGaDAtyok
#pastPapers #MPLR
Java bytecode instrumentation is so common, people don't usually thing twice.
Here a perspective from back in '07:
Advanced Java bytecode instrumentation
Walter Binder, Jarle Hulaas, Philippe Moret
https://t.co/tsYfPRl1zT
#pastPapers #MPLR
Performance gets worse over time, and people don't like our VMs?
Not a new problem:
Investigating throughput degradation behavior of Java application servers
Feng Xian, Witawas Srisa-an, Hong Jiang
https://t.co/WVGTcnFz6u
#pastPapers #MPLR
This paper from '04 looked at bytecode sequences.
Does modern Java software still show the same sequences?
A quantitative analysis of Java bytecode sequences
Ben Stephenson, Wade Holst
https://t.co/Guoqjbs07L
#pastPapers #MPLR
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